WO2018051366A1 - System and method for inspecting manufactured products. - Google Patents
System and method for inspecting manufactured products. Download PDFInfo
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- WO2018051366A1 WO2018051366A1 PCT/IN2017/050397 IN2017050397W WO2018051366A1 WO 2018051366 A1 WO2018051366 A1 WO 2018051366A1 IN 2017050397 W IN2017050397 W IN 2017050397W WO 2018051366 A1 WO2018051366 A1 WO 2018051366A1
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- manufactured products
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- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000007689 inspection Methods 0.000 claims abstract description 74
- 238000012545 processing Methods 0.000 claims abstract description 19
- 238000004891 communication Methods 0.000 claims abstract description 10
- 238000011179 visual inspection Methods 0.000 claims description 24
- 239000011521 glass Substances 0.000 claims description 15
- 229910001220 stainless steel Inorganic materials 0.000 claims description 8
- 239000010935 stainless steel Substances 0.000 claims description 8
- 238000013461 design Methods 0.000 claims description 6
- 239000000428 dust Substances 0.000 claims description 6
- 239000003086 colorant Substances 0.000 claims description 3
- 239000010409 thin film Substances 0.000 claims description 2
- 230000002950 deficient Effects 0.000 description 8
- 230000007547 defect Effects 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 230000032258 transport Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 230000003245 working effect Effects 0.000 description 1
Images
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/06—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness for measuring thickness ; e.g. of sheet material
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/85—Investigating moving fluids or granular solids
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8806—Specially adapted optical and illumination features
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N2021/845—Objects on a conveyor
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/85—Investigating moving fluids or granular solids
- G01N2021/8592—Grain or other flowing solid samples
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/93—Detection standards; Calibrating baseline adjustment, drift correction
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/952—Inspecting the exterior surface of cylindrical bodies or wires
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32189—Compare between original solid model and measured manufactured object
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32206—Selection from a lot of workpieces to be inspected
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32212—If parameter out of tolerance reject product
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Definitions
- the invention generally relates to a method and system of inspecting manufactured products, more specifically, the invention relates to an apparatus that examines all external surfaces and dimensions of manufactured products using a combination of moving parts in conveyor assembly controlled through integrated software modules.
- inspection plays a major role to ensure uniformity and quality control. Inspection may happen at different stages of the process. It may involve examining raw materials, testing of manufacturing apparatus and also ensuring quality of manufactured products. The quality related inspection of the manufactured products may further involve checks with respect to size, dimension, surface etc of the products.
- the known method of inspection involves pre feeding of ideal product details such as length, breadth, height, surface, texture, material and the like into a computer system which is in communication with the apparatus meant to inspect. According to the received information from the computer system, the apparatus compares the details of the product with that of pre-fed ideal details and thus identifies the defective products.
- the object of the invention is to provide system and method for inspecting manufactured products using an apparatus designed to examine all external surfaces and dimensions of manufactured products.
- Another object of the invention is to provide a unique conveyor assembly setup consisting of at least one belt and a set of high resolution line scan cameras with light sources.
- Yet another object of the invention is to provide an inspection apparatus configured to capture product specifications, dimensions and surface details from an initial exemplary set of products for inspection purposes.
- Yet another object of the invention is to provide an integrated software module which can electrically control the inspection apparatus.
- Yet another object of the invention is to provide a system and method for rejecting defective products wherein the system is configured to self calibrate based on the product to be inspected.
- the invention provides a system and method for inspecting manufactured products where the system is comprising of an inspection apparatus configured to capture product specification details of the manufactured products using a set of exemplary products and a central processing unit which is designed to receive the product specification details from the inspection apparatus and based on the received specification, the central processing unit determines a reference data of the manufactured products
- the inspection apparatus is configured with a self calibrating setup which is designed to position itself based on the received reference data from the central processing unit.
- the self calibrating setup further comprising of a conveyor assembly disposed with atleast one guide wherein the guide is configured to self adjust its position to streamline the manufactured products on the conveyor assembly and two visual inspection stations configured to inspect atleast two surfaces of said manufactured products after receiving the manufactured products from the conveyor assembly.
- Fig. 1 depicts/illustrates details of a system that examines all external surfaces and dimensions of manufactured products, in accordance with an embodiment of the invention.
- Fig. 2 shows a flowchart depicting/illustrating the steps involved in the method of examining all external surfaces and dimensions of manufactured products, in accordance with an embodiment of the invention.
- Fig. 3 shows a block diagram depicting workings mechanics of multiple parts of the self calibrating apparatus, in accordance with an embodiment of the invention.
- Fig. 4 depicts/illustrates an exemplary embodiment which explains the details of different inspection stations of inspection apparatus, in accordance with an embodiment of the invention.
- the embodiments herein below provide a system and method for inspecting manufactured products and rejecting products with unacceptable defects.
- the system includes an inspection apparatus, which is a combination of moving parts in a conveyor assembly setup with ideally three inspection stations.
- the apparatus is in communication with a central processing unit, configured with a self learning module.
- the inspection apparatus is fed with a set of exemplary products, which is a set taken from manufactured products, through which the inspection module captures the product specific details such as product specifications, dimensions and the surface details.
- the captured data is sent to the central processing unit, where the self learning module automatically determines reference data for the product based on the most common characteristics of the exemplary product set.
- the reference data may be defined as an ideal or reference dimension, size, surface design, weight, user specific settings and other parameters of the manufactured products detected using exemplary products. Also, there may be a provision to pre-set the level of defect acceptance by the user.
- the inspection apparatus self calibrate based on the received reference data and examine the manufactured products. As a part of the examination or inspection, the apparatus rejects the products which do not the match with the reference data.
- Fig. 1 depicts/illustrates details of a system 100 that examines all external surfaces and dimensions of manufactured products, in accordance with an embodiment of the invention.
- the system 100 has an inspection apparatus 112 which is in communication with a central processing unit 110 through a network 114.
- the network 114 can be wired or wireless communication network.
- the wired communication can be carried out by any one of the network configuration such as LAN, WAN, etc and the wireless communication can be done through Mobile Service Provide (MSP) and Internet Service Provider (ISP) having internet connection provided by an ISP provider, 2G/3G/4G/5G internet connection provided by the mobile service provider etc.
- MSP Mobile Service Provide
- ISP Internet Service Provider
- Such wired or wireless communication is not possible without the standard protocols as known in the art, where the standard protocols may be, but not limited to, Bluetooth, WiFi (any band), ZigBee, MOBBUS, Profitbus, LTE, TCP/IP, HTTP, FTP, UDP, IPV4, IPV6 etc.
- a set of exemplary products are fed to the inspection apparatus 112, where the inspection module captures product specific details such as product specifications, dimensions and the surface details. Captured data is sent to the central processing unit 110 configured with a self learning module (not shown in the fig), via network 114, where the captured data is analyzed and processed to obtain reference data based on the most common characteristics of the exemplary product set. The reference data is sent to the inspection apparatus 112, where the inspections of similar products are carried out.
- the process of inspection of the products involves feeding of the products to a vibratory hopper 114 of the apparatus 112, from where the products are streamlined automatically and are transported to first visual inspection station 116, where a high resolution line scan camera (not shown the fig) acquires images of the components and transfers them into a central processing unit 110 equipped with an inspection software.
- the software examines the components for correctness in surface including texture, patterns and the like on the surface and product dimensions including diameter checks, shape checks, etc.
- the defective products, as identified by the software are ejected via jets of compressed air by actuating a pair of pneumatic valves at the precise time when the defective products pass by the ejection valve.
- the products remaining on the conveyor belt are now transported to the second visual inspection station 118.
- the transportation of the products is achieved using a conveyor belt all across the apparatus 112.
- second visual inspection station 118 the process, as explained in first visual station 116, is repeated to examine the second surface of the product and rejecting defective products by second pair of pneumatic valves.
- the remaining products are further transported to third or final visual inspection station 120, wherein the products slide down a stainless steel plate on either side of a pair of semi-reflective glass panels.
- the glass panels are placed such that the lateral reflections are reflected back into a third line scan camera placed above the glass panels.
- LED spot lights are placed on both sides of the stainless steel plate, directed towards the glass panels, such that the component forms a precise silhouette on the camera sensor. This enables high precision measurement of the thickness of the components.
- a third pair of pneumatic valves are in place beyond third or final visual inspection station 120 to reject components whose thickness does not meet the set requirements.
- the system 100 may have a controller device that is configured to receive the reference data from the processing unit 110 and transfers it to the inspection apparatus 112.
- the method 200 involving examining all external surfaces and dimensions of manufactured products are explained further in Fig.2.
- the dimension and surface design of the manufactured products are obtained by the inspection apparatus by feeding the inspection apparatus with a set of exemplary products and the captured data is sent to the processing unit 202.
- the self learning module of the processor Based on the captured data, the self learning module of the processor generates reference data and transfers it to the inspection module 204, where the reference data includes the most common characteristics of the exemplary product set.
- the dimension and the surface design of the product can be manually fed into the central processing unit, using which the inspection apparatus inspects the products.
- fig.2 inspection apparatus is configured to constantly interact with self-learning software, to enable seamless extension of the inspection process to never-seen-before components.
- self-learning software to enable seamless extension of the inspection process to never-seen-before components.
- hardware components of the apparatus self-calibrate using stepper and servo motors, so that all guides and measuring equipment position themselves to immediately enable inspection of said components.
- the inspection apparatus which is suitable for inspecting dimension and surface design of any manufactured products, self calibrates based on the instructions from the self-learning software.
- Working mechanics of multiple parts of the self calibrating setup based on the self-learning software is shown in Fig.3.
- the block diagram 300 comprises of a self learning software based calibrating setup 310, which receives the reference data 304, based on which the setup 310 calibrates itself.
- a set of products 306 are fed to the vibratory hopper 312, which calibrates itself based on the size of the fed products.
- the self-learning software determines number of electrical pulses to be sent to the stepper motor (not shown in the Fig), which in turn helps to locate the one end of the guide 314 at a specific location and other end of the guide 314 is stationary, but consists of a pivot to enable rotator movement. Keeping one end of the guide 314 at a required location helps the products 306 to pass through a specific passage and helps them in streamlining.
- the streamlined products 306 are continued on a conveyor belt 302 and reaches inspection station 1 316 (first inspection station).
- the products 306, reaching inspection station 1 316, are scanned by a line scanning camera 318, where the first surface of the products 306 are scanned.
- the placement of the line scanning camera 316 automatically varies according to the reference size of the products 306, the distance of the camera 318 should be at optimum range so as to cover the every surface detail of the products 306, according to which the camera 318 moves vertically as well as horizontally and adjusts itself.
- the camera 318 acquires images of the products 306 and transfers them into the processor equipped with inspection software, based on the feedback from the inspection software, the pneumatic valve 320 rejects the defected products, in other words, the products 306 which do not match with the reference data 304.
- the pneumatic valve 320 passes a jet of air on to the defected products to push it off to a collecting chamber (not shown in the Fig).
- the valve 320 automatically estimates the required pressure of air depending on the size and weight of the products 306.
- a robot arm or other similar technologies may be used to pick up defected products from the stream of products 306 and place it aside the setup.
- the products 306 after first inspection station 316 are flipped and continued on conveyor belt 302 to reach inspection station 2 322 (second inspection station), where similar inspection, as in inspection station 1 316, is carried out for the other surface of the product 306.
- the conveyor belt 302 continues to carry the products 306 and is sent to final inspection station 328, where the products 306 are slide down a stainless steel plate on either side of a pair of semi-reflective glass panels 330. Again, the placement or the distance between the glass panels 330 is adjusted based on the size of the products 306. Further, light sources 332 are placed on both sides of the stainless steel plate, directed towards the glass panels 330, such that the products 306 forms a precise silhouette on the line camera sensor 334.
- the glass panels 330 may be associated with a dichroic or thin-film filter, which selectively reflects a small range of colors from white light, while reflecting all other colors.
- a third pneumatic valve 336 is in place beyond visual inspection station 3 328 to reject components whose thickness does not meet the reference data 304.
- the products 396, which successfully complete the inspection are collected in a container.
- the manufactured products are coins, whose surface diameters/dimensions are restricted to a maximum of 100mm and thickness of 50mm and also, the inspection is carried out on two parallel lines. The process of inspecting such coins is explained further.
- Coins to be inspected are loaded into a vibratory hopper 402, which directly feeds the coins into first conveyor belt 404.
- Guides and overflow mechanisms (not shown in the Fig) are placed on first belt 404 to ensure that before reaching the visual inspection station, the components are neatly aligned in a single stream per inspection line. To help said alignment, the guides self-calibrates according to dimensions of the coins.
- Coins filtered at this stage are re-directed to an overflow bin, which in turn is connected to an auxiliary conveyor which feeds the overflowed coins back to the first conveyor belt 404.
- first conveyor belt 404 now aligned into two parallel streams, are transported to first visual inspection station 406, where a high resolution line scan camera 408, suitably aligned with an LED line light, acquires images of the coins and transfers them into the processor equipped with inspection software.
- the software examines the coins for correctness in surface, shape and dimensions.
- pair of pneumatics valves which are aligned respectively to the two streams, are placed, controllable through software.
- Coins that are found to be defective in the software are ejected via jets of compressed air by actuating these pneumatic valves at the precise time when the defective component(s) pass by the ejection valve.
- Coins remaining on the first conveyor belt 404 are now transported to a “sandwich” section where they are effectively flipped between first conveyor belt 404 and the second conveyor belt 422, following which the coins are transferred to the second conveyor belt 422.
- the second conveyor belt 422 then transports the coins to second visual inspection station 410, where the process with camera 412 scanning, similar as in the first visual inspection station 406, repeats for the second coin surface.
- a second pair of pneumatic valves placed beyond the second visual inspection station 410 reject components found to be defective at this station.
- Fig.4 coins remaining on the second conveyor belt 422 are then transported to the final visual inspection station 414, wherein the coins slide down a stainless steel plate on either side of a pair of semi-reflective glass panels.
- the glass panels are placed such that the lateral reflections (in this case the thickness of the coins) are reflected back into a third line scan camera 416 placed above the glass panels.
- LED spot lights are placed on both sides of the stainless steel plate, directed towards the glass panels, such that the coin forms a precise silhouette on the camera 416 sensor. This enables high precision measurement of the thickness of the coins.
- a third pair of pneumatics valves is in place beyond visual inspection station 3 to reject components whose thickness does not meet the set requirements.
- the coins, which successfully complete the inspection are collected in a container 418. Further, the whole apparatus is connected to a power supply 420 to energize the whole process.
- the inspection apparatus is independent on identifying and handling errors.
- the processor of the inspection system is embedded by an error handling sequence in order make sure that the apparatus works effectively at all conditions and identifies all sorts of errors on its own.
- the error handling sequence activates and the inspection system initiates the process by checking the overflow of the vibratory hopper, then for the low air pressure followed by the check for calibration and lastly the system checks for no coins for a possible minimum time (30 secs approx.). Based on the conducted tests, cause for the error is detected and respective call is taken to fix the error (which is either automatic or manual).
- the inspection system has several high resolution line scan cameras, suitably aligned with an LED line light. These cameras are constantly in communication with inspection software. The said cameras may self calibrate and adjust their positions to scan a manufactured product based on the received reference dimensions and surface details.
- the inspection system has an intelligent mechanism of identifying the dust by comparing the previous and present picture taken by a specific camera and spotting the presence of the dust. Once the dust is identified the software behind the camera operation commands the release of jet of air over the camera lens and cleans the camera, where the air is released through the multiple nozzles around the camera lens.
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Abstract
The invention provides a system and method for inspecting manufactured products. The system includes an inspection apparatus, which is in communication with a central processing unit, configured with inspection and self learning module. Initially, the inspection apparatus is fed with set of exemplary products through which the inspection module captures the product specification, dimensions and the surface details. The captured data is sent to the central processing unit, where it is converted into reference data. Further, different components of the inspection apparatus self calibrate based on the received reference data and examine the manufactured products, and as part of the examination, the apparatus rejects the products which do not the match with the reference data.
Description
The invention generally relates to a method
and system of inspecting manufactured products, more
specifically, the invention relates to an apparatus that
examines all external surfaces and dimensions of
manufactured products using a combination of moving
parts in conveyor assembly controlled through integrated
software modules.
In product manufacturing processes,
inspection plays a major role to ensure uniformity and
quality control. Inspection may happen at different
stages of the process. It may involve examining raw
materials, testing of manufacturing apparatus and also
ensuring quality of manufactured products. The quality
related inspection of the manufactured products may
further involve checks with respect to size, dimension,
surface etc of the products.
There are many methods in existence to carry
out inspection process both in a stage wise manner and
in real time. While most of the methods involve an
apparatus structured to examine specific type of
products, there are other methods that rely on manual
inspection of the final manufactured products. The known
method of inspection involves pre feeding of ideal
product details such as length, breadth, height,
surface, texture, material and the like into a computer
system which is in communication with the apparatus
meant to inspect. According to the received information
from the computer system, the apparatus compares the
details of the product with that of pre-fed ideal
details and thus identifies the defective products.
As mentioned earlier, the existing methods are
designed for a single category of products, which shows
their limitations on adaptability to different products,
speed of inspection and precision. Hardware and software
parts on existing machines require elaborate manual
calibration for enabling inspection of any new product(s).
To overcome above mentioned drawbacks, there
is a need for a system that is designed to automatically
learn and adapt to products never seen before, and is
capable of learning through examples without any manual
intervention. More specifically, there is a need for an
inspection technology which doesn’t require detailed
hardware and software calibration for inspection of any
new product.
The object of the invention is to provide
system and method for inspecting manufactured products
using an apparatus designed to examine all external
surfaces and dimensions of manufactured products.
Another object of the invention is to provide
a unique conveyor assembly setup consisting of at least
one belt and a set of high resolution line scan cameras
with light sources.
Yet another object of the invention is to
provide an inspection apparatus configured to capture
product specifications, dimensions and surface details
from an initial exemplary set of products for inspection purposes.
Yet another object of the invention is to
provide an integrated software module which can
electrically control the inspection apparatus.
Yet another object of the invention is to
provide a system and method for rejecting defective
products wherein the system is configured to self
calibrate based on the product to be inspected.
The invention provides a system and method for
inspecting manufactured products where the system is
comprising of an inspection apparatus configured to
capture product specification details of the
manufactured products using a set of exemplary products
and a central processing unit which is designed to
receive the product specification details from the
inspection apparatus and based on the received
specification, the central processing unit determines a
reference data of the manufactured products
Further, the inspection apparatus is
configured with a self calibrating setup which is
designed to position itself based on the received
reference data from the central processing unit. The
self calibrating setup further comprising of a conveyor
assembly disposed with atleast one guide wherein the
guide is configured to self adjust its position to
streamline the manufactured products on the conveyor
assembly and two visual inspection stations configured
to inspect atleast two surfaces of said manufactured
products after receiving the manufactured products from
the conveyor assembly..
These and other aspects of the embodiments
herein will be better appreciated and understood when
considered in conjunction with the following description
and the accompanying drawings.
This invention is illustrated in the
accompanying drawings, throughout which, like reference
letters indicate corresponding parts in the various
figures.
The embodiments herein will be better
understood from the following description with reference
to the drawings, in which:
Fig. 1 depicts/illustrates details of a system
that examines all external surfaces and dimensions of
manufactured products, in accordance with an embodiment
of the invention.
Fig. 2shows a flowchart depicting/illustrating
the steps involved in the method of examining all
external surfaces and dimensions of manufactured
products, in accordance with an embodiment of the invention.
Fig. 3 shows a block diagram depicting
workings mechanics of multiple parts of the self
calibrating apparatus, in accordance with an embodiment
of the invention.
Fig. 4 depicts/illustrates an exemplary
embodiment which explains the details of different
inspection stations of inspection apparatus, in
accordance with an embodiment of the invention.
The embodiments herein and the various
features and advantageous details thereof are explained
more fully with reference to the non-limiting
embodiments that are illustrated in the accompanying
drawings and / or detailed in the following description.
Descriptions of well-known components and processing
techniques are omitted so as to not unnecessarily
obscure the embodiments herein. The examples used herein
are intended merely to facilitate an understanding of
ways in which the embodiments herein may be practiced
and to further enable those of skill in the art to
practice the embodiments herein. Accordingly, the
examples should not be construed as limiting the scope
of the embodiments herein.
The embodiments herein below provide a system
and method for inspecting manufactured products and
rejecting products with unacceptable defects. The system
includes an inspection apparatus, which is a combination
of moving parts in a conveyor assembly setup with
ideally three inspection stations. The apparatus is in
communication with a central processing unit, configured
with a self learning module. Initially, the inspection
apparatus is fed with a set of exemplary products, which
is a set taken from manufactured products, through which
the inspection module captures the product specific
details such as product specifications, dimensions and
the surface details. The captured data is sent to the
central processing unit, where the self learning module
automatically determines reference data for the product
based on the most common characteristics of the
exemplary product set. The reference data may be defined
as an ideal or reference dimension, size, surface
design, weight, user specific settings and other
parameters of the manufactured products detected using
exemplary products. Also, there may be a provision to
pre-set the level of defect acceptance by the user.
Further, different components of the
inspection apparatus self calibrate based on the
received reference data and examine the manufactured
products. As a part of the examination or inspection,
the apparatus rejects the products which do not the
match with the reference data.
Referring now to the drawings, where similar
reference characters denote corresponding features
consistently throughout the figures, there are shown
preferred embodiments.
Fig. 1 depicts/illustrates details of a system
100 that examines all external surfaces and dimensions
of manufactured products, in accordance with an
embodiment of the invention. The system 100 has an
inspection apparatus 112 which is in communication with
a central processing unit 110 through a network 114.
One skilled in the art may recognize that the
network 114 can be wired or wireless communication
network. The wired communication can be carried out by
any one of the network configuration such as LAN, WAN,
etc and the wireless communication can be done through
Mobile Service Provide (MSP) and Internet Service
Provider (ISP) having internet connection provided by an
ISP provider, 2G/3G/4G/5G internet connection provided
by the mobile service provider etc. Such wired or
wireless communication is not possible without the
standard protocols as known in the art, where the
standard protocols may be, but not limited to,
Bluetooth, WiFi (any band), ZigBee, MOBBUS, Profitbus,
LTE, TCP/IP, HTTP, FTP, UDP, IPV4, IPV6 etc.
A set of exemplary products are fed to the
inspection apparatus 112, where the inspection module
captures product specific details such as product
specifications, dimensions and the surface details.
Captured data is sent to the central processing unit 110
configured with a self learning module (not shown in the
fig), via network 114, where the captured data is
analyzed and processed to obtain reference data based on
the most common characteristics of the exemplary product
set. The reference data is sent to the inspection
apparatus 112, where the inspections of similar products
are carried out.
The process of inspection of the products
involves feeding of the products to a vibratory hopper
114 of the apparatus 112, from where the products are
streamlined automatically and are transported to first
visual inspection station 116, where a high resolution
line scan camera (not shown the fig) acquires images of
the components and transfers them into a central
processing unit 110 equipped with an inspection
software. The software examines the components for
correctness in surface including texture, patterns and
the like on the surface and product dimensions including
diameter checks, shape checks, etc. The defective
products, as identified by the software are ejected via
jets of compressed air by actuating a pair of pneumatic
valves at the precise time when the defective products
pass by the ejection valve.
The products remaining on the conveyor belt
are now transported to the second visual inspection
station 118. The transportation of the products is
achieved using a conveyor belt all across the apparatus
112. In second visual inspection station 118, the
process, as explained in first visual station 116, is
repeated to examine the second surface of the product
and rejecting defective products by second pair of
pneumatic valves. The remaining products are further
transported to third or final visual inspection station
120, wherein the products slide down a stainless steel
plate on either side of a pair of semi-reflective glass
panels. The glass panels are placed such that the
lateral reflections are reflected back into a third line
scan camera placed above the glass panels. LED spot
lights are placed on both sides of the stainless steel
plate, directed towards the glass panels, such that the
component forms a precise silhouette on the camera
sensor. This enables high precision measurement of the
thickness of the components. A third pair of pneumatic
valves are in place beyond third or final visual
inspection station 120 to reject components whose
thickness does not meet the set requirements.
In one embodiment, the system 100 may have a
controller device that is configured to receive the
reference data from the processing unit 110 and
transfers it to the inspection apparatus 112.
The method 200 involving examining all
external surfaces and dimensions of manufactured
products are explained further in Fig.2. Firstly, the
dimension and surface design of the manufactured
products are obtained by the inspection apparatus by
feeding the inspection apparatus with a set of exemplary
products and the captured data is sent to the processing
unit 202. Based on the captured data, the self learning
module of the processor generates reference data and
transfers it to the inspection module 204, where the
reference data includes the most common characteristics
of the exemplary product set.
In an alternate embodiment, the dimension and
the surface design of the product can be manually fed
into the central processing unit, using which the
inspection apparatus inspects the products..
With respect to Fig.2, once the reference data
is received, multiple components of the inspection
apparatus such as, guides, cameras and light sources are
self calibrated based on the reference data received
206. The manufactured products that need to be inspected
are now fed to a vibratory hopper and gradually to a
conveyor belt of the inspection apparatus 208 and
through conveyor belt, streamlined manufactured products
are sent to first, second and final inspection stations
210. Lastly, the products with undefined/unacceptable
defects are rejected using pneumatic valves placed
strategically after every inspection station 212.
Further, with respect to fig.2 inspection
apparatus is configured to constantly interact with
self-learning software, to enable seamless extension of
the inspection process to never-seen-before components.
Upon specification of a new product dimensions, hardware
components of the apparatus self-calibrate using stepper
and servo motors, so that all guides and measuring
equipment position themselves to immediately enable
inspection of said components.
In one embodiment the inspection apparatus,
which is suitable for inspecting dimension and surface
design of any manufactured products, self calibrates
based on the instructions from the self-learning
software. Working mechanics of multiple parts of the
self calibrating setup based on the self-learning
software is shown in Fig.3. The block diagram 300
comprises of a self learning software based calibrating
setup 310, which receives the reference data 304, based
on which the setup 310 calibrates itself.
In one embodiment, a set of products 306 are
fed to the vibratory hopper 312, which calibrates itself
based on the size of the fed products. The ideal or
reference dimension, size, surface design, weight, user
specific settings and other parameters, which are
collectively called reference data 304 of the products
306. Based on the received reference data of the
products 306, the self-learning software determines
number of electrical pulses to be sent to the stepper
motor (not shown in the Fig), which in turn helps to
locate the one end of the guide 314 at a specific
location and other end of the guide 314 is stationary,
but consists of a pivot to enable rotator movement.
Keeping one end of the guide 314 at a required location
helps the products 306 to pass through a specific
passage and helps them in streamlining. The streamlined
products 306 are continued on a conveyor belt 302 and
reaches inspection station 1 316 (first inspection station).
The products 306, reaching inspection station
1 316, are scanned by a line scanning camera 318, where
the first surface of the products 306 are scanned. The
placement of the line scanning camera 316 automatically
varies according to the reference size of the products
306, the distance of the camera 318 should be at optimum
range so as to cover the every surface detail of the
products 306, according to which the camera 318 moves
vertically as well as horizontally and adjusts itself.
Further the camera 318 acquires images of the products
306 and transfers them into the processor equipped with
inspection software, based on the feedback from the
inspection software, the pneumatic valve 320 rejects the
defected products, in other words, the products 306
which do not match with the reference data 304. The
pneumatic valve 320, passes a jet of air on to the
defected products to push it off to a collecting chamber
(not shown in the Fig). The valve 320 automatically
estimates the required pressure of air depending on the
size and weight of the products 306.
In an alternative embodiment, if the product
306 size is too big to reject using pneumatic valves
320, a robot arm or other similar technologies may be
used to pick up defected products from the stream of
products 306 and place it aside the setup.
The products 306 after first inspection
station 316 are flipped and continued on conveyor belt
302 to reach inspection station 2 322 (second inspection
station), where similar inspection, as in inspection
station 1 316, is carried out for the other surface of
the product 306. The conveyor belt 302 continues to
carry the products 306 and is sent to final inspection
station 328, where the products 306 are slide down a
stainless steel plate on either side of a pair of
semi-reflective glass panels 330. Again, the placement
or the distance between the glass panels 330 is adjusted
based on the size of the products 306. Further, light
sources 332 are placed on both sides of the stainless
steel plate, directed towards the glass panels 330, such
that the products 306 forms a precise silhouette on the
line camera sensor 334.
In one embodiment, the glass panels 330 may be
associated with a dichroic or thin-film filter, which
selectively reflects a small range of colors from white
light, while reflecting all other colors.
This enables high precision measurement of
the thickness of the products 306. A third pneumatic
valve 336 is in place beyond visual inspection station 3
328 to reject components whose thickness does not meet
the reference data 304. The products 396, which
successfully complete the inspection are collected in a container.
To throw more light on the process of
inspection of manufactured products, let us consider an
exemplary embodiment with respect to Fig.4. Let us
assume the manufactured products are coins, whose
surface diameters/dimensions are restricted to a maximum
of 100mm and thickness of 50mm and also, the inspection
is carried out on two parallel lines. The process of
inspecting such coins is explained further.
Coins to be inspected are loaded into a
vibratory hopper 402, which directly feeds the coins
into first conveyor belt 404. Guides and overflow
mechanisms (not shown in the Fig) are placed on first
belt 404 to ensure that before reaching the visual
inspection station, the components are neatly aligned in
a single stream per inspection line. To help said
alignment, the guides self-calibrates according to
dimensions of the coins. Coins filtered at this stage
are re-directed to an overflow bin, which in turn is
connected to an auxiliary conveyor which feeds the
overflowed coins back to the first conveyor belt 404.
Further, coins on the first conveyor belt 404,
now aligned into two parallel streams, are transported
to first visual inspection station 406, where a high
resolution line scan camera 408, suitably aligned with
an LED line light, acquires images of the coins and
transfers them into the processor equipped with
inspection software. The software examines the coins for
correctness in surface, shape and dimensions.
Following the first visual inspection station
406, pair of pneumatics valves, which are aligned
respectively to the two streams, are placed,
controllable through software. Coins that are found to
be defective in the software are ejected via jets of
compressed air by actuating these pneumatic valves at
the precise time when the defective component(s) pass by
the ejection valve. Coins remaining on the first
conveyor belt 404 are now transported to a “sandwich”
section where they are effectively flipped between first
conveyor belt 404 and the second conveyor belt 422,
following which the coins are transferred to the second
conveyor belt 422.
Furthermore, the second conveyor belt 422 then
transports the coins to second visual inspection station
410, where the process with camera 412 scanning, similar
as in the first visual inspection station 406, repeats
for the second coin surface. A second pair of pneumatic
valves placed beyond the second visual inspection
station 410 reject components found to be defective at
this station.
With respect to Fig.4, coins remaining on the
second conveyor belt 422 are then transported to the
final visual inspection station 414, wherein the coins
slide down a stainless steel plate on either side of a
pair of semi-reflective glass panels. The glass panels
are placed such that the lateral reflections (in this
case the thickness of the coins) are reflected back into
a third line scan camera 416 placed above the glass
panels. LED spot lights are placed on both sides of the
stainless steel plate, directed towards the glass
panels, such that the coin forms a precise silhouette on
the camera 416 sensor. This enables high precision
measurement of the thickness of the coins. A third pair
of pneumatics valves is in place beyond visual
inspection station 3 to reject components whose
thickness does not meet the set requirements. The coins,
which successfully complete the inspection are collected
in a container 418. Further, the whole apparatus is
connected to a power supply 420 to energize the whole process.
In one embodiment, the inspection apparatus is
independent on identifying and handling errors. The
processor of the inspection system is embedded by an
error handling sequence in order make sure that the
apparatus works effectively at all conditions and
identifies all sorts of errors on its own. Once the
apparatus receives an error, the error handling sequence
activates and the inspection system initiates the
process by checking the overflow of the vibratory
hopper, then for the low air pressure followed by the
check for calibration and lastly the system checks for
no coins for a possible minimum time (30 secs approx.).
Based on the conducted tests, cause for the error is
detected and respective call is taken to fix the error
(which is either automatic or manual).
In another embodiment, the inspection system
has several high resolution line scan cameras, suitably
aligned with an LED line light. These cameras are
constantly in communication with inspection software.
The said cameras may self calibrate and adjust their
positions to scan a manufactured product based on the
received reference dimensions and surface details.
Further, one major problem with these high
resolution scan cameras is the accumulation of dust
after a specific times of use. In order to overcome this
problem, the inspection system has an intelligent
mechanism of identifying the dust by comparing the
previous and present picture taken by a specific camera
and spotting the presence of the dust. Once the dust is
identified the software behind the camera operation
commands the release of jet of air over the camera lens
and cleans the camera, where the air is released through
the multiple nozzles around the camera lens.
The foregoing description of the specific
embodiments will so fully reveal the general nature of
the embodiments herein that others can, by applying
current knowledge, readily modify and/or adapt for
various applications such specific embodiments without
departing from the generic concept, and, therefore, such
adaptations and modifications should and are intended to
be comprehended within the meaning and range of
equivalents of the disclosed embodiments. It is to be
understood that the phraseology or terminology employed
herein is for the purpose of description and not of
limitation. Therefore, while the embodiments herein have
been described in terms of preferred embodiments, those
skilled in the art will recognize that the embodiments
herein can be practiced with modification within the
spirit and scope of the embodiments as described herein.
Claims (19)
1. A system for inspecting manufactured
products, said system comprising:
an inspection apparatus configured to capture product specification details of said manufactured products using a set of exemplary products;
a central processing unit in communication with said inspection apparatus wherein said central processing unit configured to receive said product specification details and determine reference data of said manufactured products; and
a self calibrating setup disposed within said inspection apparatus wherein said self calibrating setup is configured to position itself based on received said reference data from said central processing unit, said self calibrating setup comprising of
atleast one conveyor assembly disposed with atleast one guide wherein said guide is configured to self adjust its position to streamline said manufactured products on said conveyor assembly; and
atleast two visual inspection stations configured to receive said manufactured products from said conveyor assembly, said visual inspection stations disposed with at least one line scan camera each wherein said visual inspection stations are configured to self align said respective line scan cameras to inspect atleast two surfaces of said manufactured products.
an inspection apparatus configured to capture product specification details of said manufactured products using a set of exemplary products;
a central processing unit in communication with said inspection apparatus wherein said central processing unit configured to receive said product specification details and determine reference data of said manufactured products; and
a self calibrating setup disposed within said inspection apparatus wherein said self calibrating setup is configured to position itself based on received said reference data from said central processing unit, said self calibrating setup comprising of
atleast one conveyor assembly disposed with atleast one guide wherein said guide is configured to self adjust its position to streamline said manufactured products on said conveyor assembly; and
atleast two visual inspection stations configured to receive said manufactured products from said conveyor assembly, said visual inspection stations disposed with at least one line scan camera each wherein said visual inspection stations are configured to self align said respective line scan cameras to inspect atleast two surfaces of said manufactured products.
The system of claim 1 wherein said self
calibrating setup further comprising of a vibratory
hopper configured to self position in order to intake
said manufactured products.
The system of claim 1 wherein said self
calibrating setup further comprising of a final visual
inspection station disposed with atleast one pair of
stainless steel plates, atleast one pair of
semi-reflective glass pannels, a light source and a line
scan camera wherein said final visual inspection station
is configured to measure thickness of said manufactured products.
The system of claim 3 wherein said light source
may be LED spot lights.
The system of claim 3 wherein said glass panels
may be associated with a dichroic or thin-film filter,
which selectively reflects a small range of colors from
white light.
The system of claim 1 wherein said central
processing unit further comprising of a self learning
module wherein said self learning module configured to
learn most common characteristics of said exemplary
products and help said central processing unit to
determine reference data.
The system of claim 1 wherein said exemplary
products may be a sample set taken from said
manufactured products.
The system of claim 1 wherein said product
specific details may be product specifications,
dimensions and surface details.
The system of claim 1 wherein said reference
data may be an ideal or reference dimension, size,
surface design, weight, user specific settings and other
parameters of said manufactured products detected using
said exemplary products.
The system of claim 1 wherein ideal size of said
manufactured products may be within 100mm of diameter
and 50mm of thickness.
The system of claim 10 wherein said manufactured
products may be coins.
The system of claim 1 wherein said conveyor
assembly further configured with a combination of
atleast two conveyor belts, arranged specifically to
flip said manufactured products to enable inspection on
both top and bottom surfaces of said manufactured products.
The system of claim 1 wherein said visual
inspection stations are further disposed with atleast
one pneumatic valve each wherein said pneumatic valve is
configured to reject said manufactured products that do
not match said reference data by passing a jet of air
and pushing said products off said conveyor assembly.
The system of claim 1 wherein said line scan
cameras are further comprising of
an inspection system configured to identify dust on lens of said line scan sensors by comparing a previous picture with a present picture taken by said line sensor camera; and
atleast one nozzle strategically disposed on said line scan camera wherein said nozzle is configured to automatically release a jet of air over said camera lens if dust is detected.
an inspection system configured to identify dust on lens of said line scan sensors by comparing a previous picture with a present picture taken by said line sensor camera; and
atleast one nozzle strategically disposed on said line scan camera wherein said nozzle is configured to automatically release a jet of air over said camera lens if dust is detected.
The system of claim 1 wherein said inspection
apparatus further configured with an error handling
sequence wherein said error handling sequence enables
said inspection apparatus to identify all sorts of
errors on its own.
A method for inspecting manufactured products,
said method comprising:
capturing product specification details of said manufactured products using a set of exemplary products;
determining reference data of said manufactured products by receiving said product specification details; and
positioning a self calibrating setup based on received said reference data wherein said positioning of said self calibrating setup includes
streamlining said manufactured products on a conveyor assembly using atleast one guide configured to self adjust its position; and
inspecting said manufactured products using atleast two visual inspection stations wherein said at least two visual inspection stations are disposed with at least one line scan camera each wherein said visual inspection stations are configured to self align said respective line scan cameras to inspect atleast two surfaces of said manufactured products.
capturing product specification details of said manufactured products using a set of exemplary products;
determining reference data of said manufactured products by receiving said product specification details; and
positioning a self calibrating setup based on received said reference data wherein said positioning of said self calibrating setup includes
streamlining said manufactured products on a conveyor assembly using atleast one guide configured to self adjust its position; and
inspecting said manufactured products using atleast two visual inspection stations wherein said at least two visual inspection stations are disposed with at least one line scan camera each wherein said visual inspection stations are configured to self align said respective line scan cameras to inspect atleast two surfaces of said manufactured products.
The method of claim 16 wherein said method for
inspecting manufactured products further includes
feeding of said manufactured products to a vibratory hopper.
The method of claim 16 wherein said method for
inspecting manufactured products further includes
measuring of thickness of said manufactured products by
forming a precise silhouette on a line sensor camera
using atleast one light source placed on each side of
atleast one pair of stainless steel plate and directed
towards atleast one pair of glass panels.
The method of claim 16 wherein said reference
data may be manually fed to said self calibrating setup
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
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IN201641031769 | 2016-09-16 | ||
IN201641031769 | 2016-09-16 |
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WO2018051366A1 true WO2018051366A1 (en) | 2018-03-22 |
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PCT/IN2017/050397 WO2018051366A1 (en) | 2016-09-16 | 2017-09-14 | System and method for inspecting manufactured products. |
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US20210250519A1 (en) * | 2018-06-09 | 2021-08-12 | Sudeep Sundaram | Simultaneous inspection of multiple surfaces of an object |
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EP2199883A1 (en) * | 2008-12-18 | 2010-06-23 | G.D S.p.A. | A method of setting up and managing the inspection device in a machine for manufacturing tobacco products |
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EP2199883A1 (en) * | 2008-12-18 | 2010-06-23 | G.D S.p.A. | A method of setting up and managing the inspection device in a machine for manufacturing tobacco products |
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US20210250519A1 (en) * | 2018-06-09 | 2021-08-12 | Sudeep Sundaram | Simultaneous inspection of multiple surfaces of an object |
EP3803786A4 (en) * | 2018-06-09 | 2022-03-30 | Sundaram, Sudeep | Simultaneous inspection of multiple surfaces of an object |
WO2020049515A1 (en) * | 2018-09-06 | 2020-03-12 | Arcelormittal | Method and electronic device for monitoring a manufacturing of a metal product, related computer program and installation |
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