CN111027996A

CN111027996A - Automatic valuation mechanism of mobile terminal

Info

Publication number: CN111027996A
Application number: CN201910217934.3A
Authority: CN
Inventors: 于志国
Original assignee: Individual
Current assignee: Individual
Priority date: 2019-03-21
Filing date: 2019-03-21
Publication date: 2020-04-17

Abstract

The invention relates to an automatic valuation mechanism of a mobile terminal, which comprises: the model identification equipment is used for respectively carrying out content matching on various mobile phone standard shapes and the dynamic enhanced images so as to output the type corresponding to the mobile phone standard shape with the highest content matching degree as an identification model; the data acquisition equipment is connected with the background database equipment through a network and is used for acquiring the earliest time to market corresponding to the identifier type; and the price estimation device is used for determining the purchase-back price range of the current mobile phone to be estimated based on the identifier type and the earliest time to market. The automatic valuation mechanism of the mobile terminal is convenient to operate and rapid in valuation. The model and the earliest time to market of the current mobile phone to be evaluated are detected, and the repurchase price range of the current mobile phone to be evaluated is determined based on the detected model and the earliest time to market, so that the automation level of a mobile phone repurchase mechanism is improved.

Description

Automatic valuation mechanism of mobile terminal

Technical Field

The invention relates to the field of mobile terminals, in particular to an automatic valuation mechanism of a mobile terminal.

Background

The current mobile terminal not only can communicate, take pictures, listen to music and play games, but also can realize rich functions including positioning, information processing, fingerprint scanning, identity card scanning, bar code scanning, RFID scanning, IC card scanning, alcohol content detection and the like, and becomes an important tool for mobile law enforcement, mobile office and mobile commerce. Some mobile terminals also integrate an intercom to the mobile terminal. The mobile terminal is deeply integrated into the economic and social lives of people, and a new means is added for improving the living standard of people, the law enforcement efficiency, the production management efficiency, the resource consumption and the environmental pollution and emergency treatment of emergencies. Foreign countries have used such intelligent terminals in the fields of express delivery, insurance, mobile law enforcement, and the like. In recent years, mobile terminals are also increasingly widely used in the fields of mobile law enforcement and mobile commerce in China.

Disclosure of Invention

The invention has at least the following key invention points:

(1) detecting the model and the earliest time to market of the current mobile phone to be evaluated by adopting a targeted image recognition mechanism, and determining the repurchase price range of the current mobile phone to be evaluated based on the detected model and the earliest time to market, so that the automation level of the mobile phone repurchase mechanism is improved;

(2) when the image content is too complex, a dynamic enhancement mechanism is adopted for the image, and only the middle area of the image is subjected to edge enhancement processing to obtain a dynamic enhancement image, so that the image processing effect is ensured as much as possible under the condition of not occupying too many computing resources.

According to an aspect of the present invention, there is provided an automatic valuation mechanism of a mobile terminal, the mechanism comprising:

the model identification device is connected with the GPU processing chip and is used for respectively carrying out content matching on various mobile phone standard shapes and the dynamic enhanced image so as to output the type corresponding to the mobile phone standard shape with the highest content matching degree as an identification model;

the data acquisition equipment is connected with the background database equipment through a network and is used for acquiring the earliest time to market corresponding to the identifier type;

the price estimation equipment is connected with the data acquisition equipment and is used for determining the purchase back price range of the current mobile phone to be estimated based on the identifier type and the earliest time to market;

the wireless camera shooting mechanism is arranged in the automatic buyback machine and used for shooting the front of the automatic buyback machine to obtain and output a corresponding front captured image, wherein the automatic buyback machine is used for buyback a mobile phone to be valued placed in front of the automatic buyback machine;

the targeted restoration device is connected with the wireless camera shooting mechanism and is used for receiving the front captured image and adjusting the number of times of point image restoration processing performed on an input image based on the maximum amplitude of interference in the front captured image so as to obtain and output a corresponding targeted restoration image;

the homomorphic filtering device is connected with the targeted restoration device and used for receiving the targeted restoration image and executing homomorphic filtering processing on the targeted restoration image so as to obtain and output a filtered image;

the foreground stripping equipment is connected with the homomorphic filtering equipment and used for receiving the filtered image, taking pixel points of gray values in the filtered image between a foreground upper limit gray value and a foreground lower limit gray value as foreground pixel points, and forming a field foreground image corresponding to the filtered image based on each foreground pixel point in the filtered image;

the target identification device is connected with the foreground stripping device and used for receiving the field foreground image, identifying each target occupying the pixels with the number exceeding the number limit in the field foreground image and outputting the number of each target as the number of the field targets;

and the GPU processing chip is respectively connected with the target identification equipment and the homomorphic filtering equipment and is used for executing edge enhancement processing only on the middle area of the filtered image when the number of the received field targets is greater than or equal to a preset number threshold value so as to obtain a dynamic enhanced image.

The automatic valuation mechanism of the mobile terminal is convenient to operate and rapid in valuation. The model and the earliest time to market of the current mobile phone to be evaluated are detected, and the repurchase price range of the current mobile phone to be evaluated is determined based on the detected model and the earliest time to market, so that the automation level of a mobile phone repurchase mechanism is improved.

Detailed Description

The following will describe in detail an embodiment of the mobile terminal automated rating mechanism of the present invention.

The mobile phone type is an external type of the mobile phone as its name implies, and the mobile phone is classified into a bar type, a folding type (single screen, double screen), a sliding type, and the like.

In a flip phone, the main display or keys are visible only when the cover is opened, and only one screen is provided, so the phone is called a single-screen flip phone. A dual-screen flip phone is also introduced in the market, i.e. another sub-display is provided on the flip, which is usually not large and generally can display the time, signal, battery, incoming number, etc.

The bar phone means that the screen and the keys of the phone are on the same plane, and the phone has no flip. Namely the bar phone we often say. The feature of the upright mobile phone is that the contents displayed on the screen can be seen directly.

The sliding mobile phone mainly means that the whole mobile phone body can be seen only by pulling the mobile phone. Some models can only see the keys by sliding the lower cover; while others can only see the keyboard by pulling up on a portion of the screen. To some extent, the slide phone is an extension and innovation of the flip phone.

Wristwatch type mobile phones are mostly simple and small in function in the early stage, but the wristwatch type mobile phones are more complete in function when developing to a smartphone stage, such as Galaxy Gear V700 in samsung. The earliest home-made cell phone wristwatch was YAMi.

At present, the mobile phone buyback machine needs to manually input the machine type and the purchase date, and then subsequent price range assessment can be carried out, the whole assessment mechanism is time-consuming and labor-consuming to execute, the mood and the patience of sellers are seriously affected, and the success rate of mobile phone buyback is further reduced, so that an automatic assessment mechanism is needed to improve the current situation.

In order to overcome the defects, the invention builds an automatic valuation mechanism of the mobile terminal, and can effectively solve the corresponding technical problem.

The mobile terminal automatic valuation mechanism shown according to the embodiment of the invention comprises:

the GPU processing chip is respectively connected with the target identification device and the homomorphic filtering device and is used for executing edge enhancement processing only on the middle area of the filtered image when the number of the received field targets is greater than or equal to a preset number threshold value so as to obtain a dynamic enhanced image;

the GPU processing chip is also used for performing edge enhancement processing on the filtered image to obtain a dynamic enhanced image when the number of the received field targets is smaller than the preset number threshold;

in the GPU processing chip, the middle area of the filtered image is an area occupying the middle position of the filtered image and having an area which is one fourth of the area of the filtered image;

wherein, in the targeted restoration apparatus, adjusting the number of times of point image restoration processing performed on an input image based on the maximum amplitude of disturbance in the front captured image includes: the larger the maximum amplitude of the disturbance in the front captured image is, the more the number of times the point image restoration processing is performed on the input image is adjusted.

Next, the detailed structure of the automatic evaluation mechanism of the mobile terminal of the present invention will be further described.

The automatic valuation mechanism of the mobile terminal can further comprise:

and the data extraction equipment is connected with the wireless camera shooting mechanism and is used for acquiring multiple frames of front captured images which are continuous in time.

The automatic valuation mechanism of the mobile terminal can further comprise:

the data analysis device is connected with the data extraction device and is used for executing the following operations on each frame of front captured image: determining each gray value of each pixel point of the front captured image, and performing histogram processing on the front captured image based on each gray value of each pixel point to obtain a corresponding histogram distribution map.

The automatic valuation mechanism of the mobile terminal can further comprise:

and the data comparison equipment is connected with the data analysis equipment and used for acquiring each histogram distribution graph corresponding to each captured image in front of multiple frames, analyzing the variation degree of each histogram distribution graph to acquire the image level variation degree, and sending a position correction signal when the image level variation degree exceeds the limit, and sending a position maintaining signal when the image level variation degree does not exceed the limit.

In the automatic valuation mechanism of the mobile terminal:

in the data comparison device, analyzing the degree of change of each histogram profile includes: for each gray distribution range, determining a degree of change of each histogram profile within the gray distribution range as a sub-range degree of change, and calculating the image level change degree based on each sub-range degree of change of each gray distribution range and each weight of each gray distribution range.

The automatic valuation mechanism of the mobile terminal can further comprise:

the holder control equipment is connected with the holder of the wireless camera shooting mechanism and is also connected with the data comparison equipment;

and the holder control equipment is used for correspondingly correcting the position of the holder according to the image level change degree when receiving the position correction signal.

In the automatic valuation mechanism of the mobile terminal:

the gray distribution ranges are all between 0 and 255 and are evenly distributed between 0 and 255, and the weights of the gray distribution ranges are different.

In the automatic valuation mechanism of the mobile terminal:

the closer to the gradation distribution range of 125, the greater the weight of each weight for each gradation distribution range.

In the automatic valuation mechanism of the mobile terminal:

the targeted restoration device, the homomorphic filtering device, the foreground stripping device and the target identification device share the same quartz oscillator;

wherein the targeted restoration device, the homomorphic filtering device, the foreground stripping device, and the target recognition device are integrated on the same printed circuit board.

In addition, the GPU is different from a DSP (Digital Signal Processing) architecture in several main aspects. All its calculations use floating point arithmetic and there is no bit or integer arithmetic instruction at this time. Furthermore, since the GPU is designed specifically for image processing, the storage system is actually a two-dimensional, segmented storage space, including a segment number (from which the image is read) and a two-dimensional address (X, Y coordinates in the image). Furthermore, there is no indirect write instruction. The output write address is determined by the raster processor and cannot be changed by the program. This is a significant challenge for algorithms that are naturally distributed among the memories. Finally, no communication is allowed between the processes of different shards. In effect, the fragment processor is a SIMD data parallel execution unit, executing code independently in all fragments.

Despite the above constraints, the GPU can still efficiently perform a variety of operations, from linear algebraic sum signal processing to numerical simulation. While the concept is simple, new users are still confused when using GPU computations because the GPU requires proprietary graphics knowledge. In this case, some software tools may provide assistance. The two high-level shading languages CG and HLSL enable users to write C-like code and then compile it into a shard program assembly language. Brook is a high-level language designed specifically for GPU computing and does not require graphical knowledge. Therefore, it can be a good starting point for the worker who first uses the GPU for development. Brook is an extension of the C language, integrating a simple data-parallel programming construct that can be mapped directly to a GPU. Data stored and manipulated by the GPU is visually analogized to "streams" (streams), similar to the arrays in standard C. The Kernel is a function that operates on the stream. Calling a core function on a series of input streams means that an implicit loop is implemented on the stream elements, i.e. a core body is called for each stream element. Brook also provides reduction mechanisms, such as performing sum, maximum, or product calculations on all elements in a stream. Brook also completely hides all the details of the graphics API and virtualizes many user-unfamiliar parts of the GPU, like the two-dimensional memory system. Applications written in Brook include linear algebra subroutines, fast fourier transforms, ray tracing, and image processing. With the X800XT for ATI and the GeForce 6800Ultra type GPU for Nvidia, the speed of many such applications increased by as much as 7 times under the same cache, SSE assembly optimized Pentium 4 execution conditions.

It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.

It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.

The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.

Claims

1. An automatic valuation mechanism of a mobile terminal, comprising:

2. The mobile terminal automated valuation mechanism of claim 1 wherein said mechanism further comprises:

3. The mobile terminal automated valuation mechanism of claim 2 wherein said mechanism further comprises:

4. The mobile terminal automated valuation mechanism of claim 3 wherein said mechanism further comprises:

5. The mobile terminal automated valuation mechanism of claim 4 wherein:

6. The mobile terminal automated valuation mechanism of claim 5 wherein said mechanism further comprises:

7. The mobile terminal automated valuation mechanism of claim 6 wherein:

8. The mobile terminal automated valuation mechanism of claim 7 wherein:

9. The mobile terminal automated valuation mechanism of claim 7 wherein: