CN110992420B - System and method for detecting granary vehicle carrying condition - Google Patents
System and method for detecting granary vehicle carrying condition Download PDFInfo
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- CN110992420B CN110992420B CN201911310996.5A CN201911310996A CN110992420B CN 110992420 B CN110992420 B CN 110992420B CN 201911310996 A CN201911310996 A CN 201911310996A CN 110992420 B CN110992420 B CN 110992420B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30236—Traffic on road, railway or crossing
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- Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
Abstract
The invention provides a system and a method for detecting the carrying condition of a granary vehicle, comprising a video processor, an intelligent NVR and two detection ball machines, wherein the two detection ball machines are respectively arranged on posts arranged at the front end and the rear end of a ground slamming, the detection ball machines shoot pictures in which the ground slamming is positioned, the video processor is arranged in the detection ball machines, the video processor transmits shooting pictures of the detection ball machines to the intelligent NVR, the intelligent NVR performs characteristic analysis on the video pictures according to an artificial intelligent algorithm, and transmits the video pictures back to the detection ball machines according to analysis results to control the rotation and shooting of the detection ball machines. The beneficial effects of the invention are as follows: through the detection ball machine and the artificial intelligence operation method, the detection picture when the granary vehicle is slammed over the ground can be accurately shot, the detection picture is analyzed and judged, the front-end detection ball machine is further controlled to adjust, and effective information to be detected of the granary vehicle is better detected.
Description
Technical Field
The invention relates to the technical field of video detection, in particular to a system and a method for detecting the carrying condition of a granary vehicle.
Background
The intelligent recognition is an important foot drop point of the artificial intelligence, and the intelligent recognition equipment of the NVR box is used for judging the carrying condition of the vehicle and controlling the front-end equipment to grasp effective information.
In the grain storage, in order to better and more clearly see the conditions of the cab, the license plate and the cargoes in the car hopper, the conditions of the car can be amplified and tracked under the condition of a far visual angle or the condition of the movement of the car, so that effective pictures can be taken at the moment when the weighing of the car is stopped.
Disclosure of Invention
In view of the foregoing, the present invention is directed to a system and a method for detecting the loading condition of a granary vehicle, which can detect the loading condition of the granary vehicle comprehensively and accurately when the vehicle is weighed.
In order to achieve the above purpose, the technical scheme of the invention is realized as follows:
the utility model provides a detect system of granary vehicle delivery condition, includes video processor, intelligent NVR, two detect the ball machine and install respectively on the post that both ends set up around the ground is slammed, detect the ball machine and shoot ground and slammed place picture, be equipped with video processor in the detect the ball machine, video processor will detect the ball machine and shoot the picture and transmit for intelligent NVR, intelligent NVR carries out feature analysis to the video picture according to artificial intelligence algorithm to detect the ball machine according to analysis result transmission back, control detects the rotation and the shooting of ball machine.
The invention also provides another embodiment, a method for detecting the carrying condition of a granary vehicle, which comprises the following steps,
s1, setting a vehicle condition judgment parameter;
s2, the vehicle runs onto the ground slam from the front end or the rear end, and the ground slam front end and the rear end detect a ball machine in real time to shoot a ground slam picture;
s3, the ball detecting machine transmits a shooting picture to the intelligent NVR in real time through the video processor;
s4, the intelligent NVR judges whether the vehicle size and the vehicle head information are clear or not and whether the parking space information is clear or not according to the picture information;
s5, sending an adjusting angle and a shooting command to the front end detection ball machine according to the judging result;
s6, after adjustment is completed, the ball detecting machine shoots pictures, and the shot pictures are transmitted to the intelligent NVR for storage.
Further, the vehicle condition judging parameters comprise a maximum ratio of the area of the trolley to the picture and a maximum ratio of the area of the head of the large trolley to the picture;
further, when the vehicle area-to-picture ratio is smaller than or equal to the preset trolley area-to-picture maximum ratio, the vehicle is judged to be a trolley, the intelligent NVR controls the front and rear end detection ball machine to conduct 3D positioning on the trolley, the effective information to be detected is amplified, and the front and rear end detection ball machine shoots the effective information to be detected on the front and rear ends of the trolley respectively.
Further, when the vehicle area-to-picture ratio is larger than the maximum ratio of the preset trolley area-to-picture ratio, the vehicle is judged to be a trolley, at the moment, the effective information to be detected at the front end of the trolley is clear, the intelligent NVR controls the front end detection ball machine to carry out 3D tracking on the trolley head, the shooting angle of the ball machine is continuously adjusted, and the fact that the head is always in the central area of the shot picture of the front end detection ball machine in the long-distance and short-distance running process of the trolley head is ensured.
Further, when the vehicle area to picture ratio is larger than the preset maximum vehicle head area to picture ratio, the vehicle tail enters a shooting picture, and in the shooting picture of the rear end detection ball machine, effective information to be detected of the vehicle tail is clear, but goods in the vehicle hopper are positioned at the upper edge of the shooting picture, shooting is not complete enough, and the intelligent NVR controls the rear end detection ball machine to rise in angle, so that the effective information to be detected in the vehicle hopper is complete and clear.
Compared with the prior art, the system and the method for detecting the carrying condition of the granary vehicle have the following advantages:
according to the invention, through the detection ball machine and the artificial intelligence operation method, the detection picture when the granary vehicle is slammed over the ground can be accurately shot, the detection picture is analyzed and judged, the front-end detection ball machine is further controlled to adjust, and the effective information to be detected of the granary vehicle is better detected.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of a vehicle area-to-frame ratio according to an embodiment of the present invention;
fig. 2 is a schematic diagram of 3D tracking of a cart head according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a shot image before and after the rear end detection dome camera is lifted up in angle according to an embodiment of the present invention.
Detailed Description
The invention will be described in detail below with reference to the drawings in connection with embodiments.
As shown in fig. 1 to 3, a system for detecting the carrying condition of a granary vehicle comprises a video processor, an intelligent NVR and two detection ball machines, wherein the two detection ball machines are respectively arranged on posts arranged at the front end and the rear end of a ground slamming, the detection ball machines shoot pictures of the ground slamming, the video processor is arranged in the detection ball machines, the video processor transmits shooting pictures of the detection ball machines to the intelligent NVR, the intelligent NVR performs feature analysis on the video pictures according to an artificial intelligent algorithm, and transmits the video pictures back to the detection ball machines according to analysis results to control the rotation and shooting of the detection ball machines.
The invention also provides another embodiment, a method for detecting the carrying condition of a granary vehicle, which comprises the following steps,
s1, setting a vehicle condition judgment parameter;
s2, the vehicle runs onto the ground slam from the front end or the rear end, and the ground slam front end and the rear end detect a ball machine in real time to shoot a ground slam picture;
s3, the ball detecting machine transmits a shooting picture to the intelligent NVR in real time through the video processor;
s4, the intelligent NVR judges whether the vehicle size and the vehicle head information are clear or not and whether the parking space information is clear or not according to the picture information;
s5, sending an adjusting angle and a shooting command to the front end detection ball machine according to the judging result;
s6, after adjustment is completed, the ball detecting machine shoots pictures, and the shot pictures are transmitted to the intelligent NVR for storage.
The vehicle condition judging parameters comprise a maximum ratio of the area of the trolley to the picture and a maximum ratio of the area of the head of the large trolley to the picture;
when the vehicle area-to-picture ratio is smaller than or equal to the preset vehicle area-to-picture maximum ratio, the vehicle is judged to be a trolley, the intelligent NVR controls the front and rear end detection ball machine to conduct 3D positioning on the trolley, the effective information to be detected is amplified, and the front and rear end detection ball machine shoots the effective information to be detected at the front and rear ends of the trolley respectively.
When the vehicle area-to-picture ratio is larger than the maximum ratio of the preset trolley area-to-picture ratio, the vehicle is judged to be a cart, at the moment, the effective information to be detected at the front end of the cart is clear, the intelligent NVR controls the front end detection ball machine to carry out 3D tracking on the cart head, the shooting angle of the ball machine is continuously adjusted, and the central area of the picture shot by the front end detection ball machine is always ensured in the process of driving the cart head from far to near.
When the vehicle area to picture ratio is larger than the preset maximum vehicle head area to picture ratio, the vehicle tail enters a shooting picture, and in the shooting picture of the rear end detection ball machine, the effective information to be detected of the vehicle tail is clear, but the goods in the vehicle hopper are positioned at the upper edge of the shooting picture, so that shooting is not complete enough, and the intelligent NVR controls the rear end detection ball machine to rise in angle, so that the effective information to be detected in the vehicle hopper is complete and clear.
The implementation process of the invention is as follows:
s1, setting vehicle condition judging parameters, wherein the parameters comprise a maximum occupation ratio a of a trolley area to a picture and a maximum occupation ratio b of a cart head area to a picture;
s2, the vehicle runs onto the ground slam from the front end or the rear end, the ground slam is shot by the front end and the rear end real-time detection ball machine, if the vehicle runs into the ground slam from the front end, the front end detection ball machine shoots the vehicle head, the rear end detection ball machine shoots the vehicle tail, and if the vehicle runs into the ground slam from the rear end, the rear end detection ball machine shoots the vehicle head, and the front end detection ball machine shoots the vehicle tail;
s3, the ball detecting machine encodes shooting pictures in real time through a video processor and then transmits video streams to an intelligent NVR, and the intelligent NVR decodes the video streams and performs characteristic analysis on data streams according to an artificial intelligent algorithm;
s4, the intelligent NVR judges whether the vehicle size and the vehicle head information are clear or not and whether the parking space information is clear or not according to the picture information;
s5, when the ratio of the vehicle area to the picture is smaller than or equal to a, judging that the vehicle is a trolley, controlling the front and rear end detection ball machine to perform 3D positioning on the trolley by the intelligent NVR, and amplifying effective information to be detected.
When the vehicle area-to-picture ratio is larger than a, the vehicle is judged to be a large vehicle, at the moment, the effective information to be detected at the front end of the large vehicle is clear, the intelligent NVR controls the front end detection ball machine to carry out 3D tracking on the head of the large vehicle, the shooting angle of the ball machine is continuously adjusted, and the head of the large vehicle is always in the central area of the shot picture of the front end detection ball machine in the long-distance and short-distance driving process.
When the vehicle area-to-picture ratio is larger than b, the tail of the vehicle enters a shooting picture, and in the shooting picture of the rear end detection ball machine, the effective information to be detected of the tail of the large vehicle is clear, but the goods in the hopper are positioned at the upper edge of the shooting picture, shooting is not complete enough, and the intelligent NVR controls the rear end detection ball machine to rise in angle, so that the effective information to be detected in the hopper is complete and clear.
S6, after adjustment is completed, the ball detecting machine shoots pictures, and the shot pictures are transmitted to the intelligent NVR for storage.
The effective information to be detected generally comprises a vehicle head license plate, a vehicle tail license plate and grain types in a vehicle hopper, accurate information is collected to facilitate the granary to record the grain vehicle types and the vehicle, and comprehensive information of the granary grains is acquired in real time.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (3)
1. The system for detecting the carrying condition of the granary vehicle is characterized by comprising a video processor, an intelligent NVR and two detection ball machines, wherein the two detection ball machines are respectively arranged on posts arranged at the front end and the rear end of a ground slamming, the detection ball machines shoot pictures in which the ground slamming is positioned, the video processor is arranged in the detection ball machines, the video processor transmits the shot pictures of the detection ball machines to the intelligent NVR, the intelligent NVR performs characteristic analysis on the video pictures according to an artificial intelligent algorithm, and transmits the video pictures back to the detection ball machines according to analysis results to control the rotation and shooting of the detection ball machines;
the method comprises the following steps:
s1, setting a vehicle condition judgment parameter;
the vehicle condition judging parameters comprise a maximum ratio of the area of the trolley to the picture and a maximum ratio of the area of the head of the large trolley to the picture;
s2, the vehicle runs onto the ground slam from the front end or the rear end, and the ground slam images are shot in real time by the ball machine for detecting the front end and the rear end of the ground slam;
s3, the ball detecting machine transmits a shooting picture to the intelligent NVR in real time through the video processor;
s4, the intelligent NVR judges whether the vehicle size and the vehicle head information are clear or not and whether the parking space information is clear or not according to the picture information;
s5, sending an adjusting angle and a shooting command to the front end detection ball machine according to the judging result;
s6, after adjustment is completed, the ball detecting machine shoots pictures, and the shot pictures are transmitted to the intelligent NVR for storage;
when the vehicle area to picture ratio is larger than the preset maximum vehicle head area to picture ratio, the vehicle tail enters a shooting picture, and in the shooting picture of the rear end detection ball machine, the effective information to be detected of the vehicle tail is clear, but the goods in the vehicle hopper are positioned at the upper edge of the shooting picture, so that shooting is not complete enough, and the intelligent NVR controls the rear end detection ball machine to rise in angle, so that the effective information to be detected in the vehicle hopper is complete and clear.
2. The system for detecting a loading condition of a grain bin vehicle of claim 1, wherein: when the vehicle area-to-picture ratio is smaller than or equal to the preset vehicle area-to-picture maximum ratio, the vehicle is judged to be a trolley, the intelligent NVR controls the front and rear end detection ball machine to conduct 3D positioning on the trolley, the effective information to be detected is amplified, and the front and rear end detection ball machine shoots the effective information to be detected at the front and rear ends of the trolley respectively.
3. The system for detecting a loading condition of a grain bin vehicle of claim 1, wherein: when the vehicle area-to-picture ratio is larger than the maximum ratio of the preset trolley area-to-picture ratio, the vehicle is judged to be a cart, at the moment, the effective information to be detected at the front end of the cart is clear, the intelligent NVR controls the front end detection ball machine to carry out 3D tracking on the cart head, the shooting angle of the ball machine is continuously adjusted, and the central area of the picture shot by the front end detection ball machine is always ensured in the process of driving the cart head from far to near.
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| CN201911310996.5A CN110992420B (en) | 2019-12-18 | 2019-12-18 | System and method for detecting granary vehicle carrying condition |
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| CN201911310996.5A CN110992420B (en) | 2019-12-18 | 2019-12-18 | System and method for detecting granary vehicle carrying condition |
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| CN110992420B true CN110992420B (en) | 2023-07-21 |
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