CN204203991U - Based on infrared people's car automatic classification lane device - Google Patents
Based on infrared people's car automatic classification lane device Download PDFInfo
- Publication number
- CN204203991U CN204203991U CN201420741414.5U CN201420741414U CN204203991U CN 204203991 U CN204203991 U CN 204203991U CN 201420741414 U CN201420741414 U CN 201420741414U CN 204203991 U CN204203991 U CN 204203991U
- Authority
- CN
- China
- Prior art keywords
- controller
- infrared
- people
- circuit
- car
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Landscapes
- Traffic Control Systems (AREA)
Abstract
The utility model relates to entrance guard management technical field, specifically a kind of based on infrared people's car automatic classification lane device, it is characterized in that being provided with host computer, controller, infrared detection mechanism, alarm, display screen, wherein host computer is connected through network communications circuits with controller, infrared detection mechanism is connected with the data acquisition circuit in controller, alarm is connected with the output terminal of the warning circuit in controller, display screen is connected with the display circuit in controller, be provided with in described infrared detection mechanism and pass through three infrared emission sensors that direction sets gradually along people's car, adjacent infrared emission transducer spacing is 60cm, the utility model compared with prior art, can classify to passing in and out people/thing in monitoring field fast, simultaneously to its current walking direction.
Description
Technical field
The utility model relates to entrance guard management technical field, and specifically one can be classified to passing in and out people/thing in monitoring field fast, simultaneously to its current walking direction based on infrared people's car automatic classification lane device.
Background technology
In existing people's car sorting technique field, video technique is mostly adopted to carry out people's car automatic classification, as adopt based on many granularities perception SVM(support vector machine) complex scene people car sorting technique, first the method carries out moving region analysis to video scene, moving region visually-perceptible information is extracted in conjunction with angular-point detection method, in time-space domain, adopt Kalman filter that perception information is carried out related reasoning, remove noise.Again centered by the center of mass point of moving region, many granularities Perception Features of structure target, finally constructs 2 grades of SVM classifier, target many granularities Perception Features vector set input SVM classifier is carried out training and classifying, and obtains people's car classification results and exports.
The method is mainly analyzed by video, but exist obvious shortcoming as: the impact by misty rain snow weather is comparatively large, and misty rain snow also can be entered in video pictures, can judge to produce certain impact on the accurate of people's car classification.Impact by people's car travel speed speed is comparatively large, and especially speed is comparatively slow or stop and go, and is difficult to carry out the classification of people's car judges by video pictures.Impact by specific environment for use is comparatively large, and as needed to classify to passing people's car the gateway of 50 meters wide, video is difficult to all cover and accurately carry out the classification of people's car.
Summary of the invention
The utility model is for the shortcoming and defect existed in prior art, and proposing one can classify to passing in and out people/thing in monitoring field fast, simultaneously to its current walking direction based on infrared people's car automatic classification lane device.
The utility model can be reached by following measures:
A kind of based on infrared people's car automatic classification lane device, it is characterized in that being provided with host computer, controller, infrared detection mechanism, alarm, display screen, wherein host computer is connected through network communications circuits with controller, infrared detection mechanism is connected with the data acquisition circuit in controller, alarm is connected with the output terminal of the warning circuit in controller, display screen is connected with the display circuit in controller, be provided with in described infrared detection mechanism and pass through three infrared emission sensors that direction sets gradually along people's car, adjacent infrared emission transducer spacing is 60cm.
Microprocessor is provided with in controller described in the utility model, and the power circuit, data acquisition circuit, storer, network communications circuits, display circuit, the warning circuit that are connected with microprocessor respectively.
The utility model is also provided with the camera be connected with controller, is provided with the image processing circuit be connected with microprocessor in controller, and the input end of image processing circuit is connected with camera, for acquisition monitoring passage people/car turnover image information.
The utility model in use, controller is used for resolving the infrared emission state change of buffer memory, because Vehicle And Personnel's self attributes is very different, once a pair infrared emission can only be triggered as personnel are current, maximum triggering two is right, and vehicle pass-through once can trigger three pairs of infrared emissions, if in the infrared emission state recording of buffer memory, there is the situation that three pairs of infrared emissions are triggered simultaneously, then think vehicle pass-through, otherwise think that personnel pass through, according to the Article 1 recorded in buffer memory and the last item infrared emission trigger state, personnel or vehicle pass-through direction can be judged.
In use, host computer, also for resolving the video of camera, improves people's car recognition accuracy to the utility model.
The utility model compared with prior art, have the following advantages: the construction of (1) lane device is simple, cost is low: lane device adopts three pairs of infrared emissions and a controller composition, in the wall that respectively receiving end of infrared emission and transmitting terminal can be directly fixed to both sides, gateway or vertical rod, and be connected on controller by infrared emission signal wire and power lead, controller is communicated with the external world by network interface, the construction of lane device is simple, take up room little, number of devices is few, and cost is low; (2) lane device applied range, no matter strong adaptability: lane device can be applicable to various occasion is 1 meter of gateway or 50 meters of gateways, and no matter be rainy day or snow sky, infrared emission can both normally use; (3) lane device algorithm is simple, and erroneous judgement rate is low: people's car self attributes is different, and if no matter people is normally walk or lean to one side away, human body breadth extreme is 60cm, and Vehicle length minimum be 200cm, 60cm and 200cm differs greatly.Three pairs of infrared emissions are set, width between often pair of infrared emission is 60cm, when personnel or vehicle pass through, if three pairs of infrared emissions are all triggered, then can be judged as YES vehicle to pass through, if to only have a pair or two pairs of infrared emissions are triggered, then can be judged as that personnel pass through, and be which judges the current direction of vehicle or personnel to infrared emission according to what trigger at first; (4) in conjunction with video algorithm, judging nicety rate is improved.
accompanying drawing illustrates:
Accompanying drawing 1 is structured flowchart of the present utility model.
Reference numeral: host computer 1, controller 2, alarm 3, display screen 4, microprocessor 5, power circuit 6, data acquisition circuit 7, storer 8, network communications circuits 9, display circuit 10, warning circuit 11, infrared emission sensor 12, image processing circuit 13, camera 14.
embodiment:
Below in conjunction with accompanying drawing, the utility model is further described.
The utility model proposes a kind of based on infrared people's car automatic classification lane device, it is characterized in that being provided with host computer 1, controller 2, infrared detection mechanism, alarm 3, display screen 4, wherein host computer 1 is connected through network communications circuits with controller 3, infrared detection mechanism is connected with the data acquisition circuit in controller, alarm 3 is connected with the output terminal of the warning circuit in controller 2, display screen 4 is connected with the display circuit in controller 2, be provided with in described infrared detection mechanism and pass through three infrared emission sensors that direction sets gradually along people's car, adjacent infrared emission sensor 12 spacing is 60cm, microprocessor 5 is provided with in described controller 2, and the power circuit 6 be connected with microprocessor 5 respectively, data acquisition circuit 7, storer 8, network communications circuits 9, display circuit 10, warning circuit 11.
The utility model is also provided with the camera 14 be connected with controller 2, the image processing circuit 13 be connected with microprocessor 5 is provided with in controller 2, the input end of image processing circuit 13 is connected with camera 14, for acquisition monitoring passage people/car turnover image information.
The utility model in use, controller is used for resolving the infrared emission state change of buffer memory, because Vehicle And Personnel's self attributes is very different, once a pair infrared emission can only be triggered as personnel are current, maximum triggering two is right, and vehicle pass-through once can trigger three pairs of infrared emissions, if in the infrared emission state recording of buffer memory, there is the situation that three pairs of infrared emissions are triggered simultaneously, then think vehicle pass-through, otherwise think that personnel pass through, according to the Article 1 recorded in buffer memory and the last item infrared emission trigger state, personnel or vehicle pass-through direction can be judged.
The utility model compared with prior art, have the following advantages: the construction of (1) lane device is simple, cost is low: lane device adopts three pairs of infrared emissions and a controller composition, in the wall that respectively receiving end of infrared emission and transmitting terminal can be directly fixed to both sides, gateway or vertical rod, and be connected on controller by infrared emission signal wire and power lead, controller is communicated with the external world by network interface, the construction of lane device is simple, take up room little, number of devices is few, and cost is low; (2) lane device applied range, no matter strong adaptability: lane device can be applicable to various occasion is 1 meter of gateway or 50 meters of gateways, and no matter be rainy day or snow sky, infrared emission can both normally use; (3) lane device algorithm is simple, and erroneous judgement rate is low: people's car self attributes is different, and if no matter people is normally walk or lean to one side away, human body breadth extreme is 60cm, and Vehicle length minimum be 200cm, 60cm and 200cm differs greatly.Three pairs of infrared emissions are set, width between often pair of infrared emission is 60cm, when personnel or vehicle pass through, if three pairs of infrared emissions are all triggered, then can be judged as YES vehicle to pass through, if to only have a pair or two pairs of infrared emissions are triggered, then can be judged as that personnel pass through, and be which judges the current direction of vehicle or personnel to infrared emission according to what trigger at first.
Claims (3)
1. one kind based on infrared people's car automatic classification lane device, it is characterized in that being provided with host computer, controller, infrared detection mechanism, alarm, display screen, wherein host computer is connected through network communications circuits with controller, infrared detection mechanism is connected with the data acquisition circuit in controller, alarm is connected with the output terminal of the warning circuit in controller, display screen is connected with the display circuit in controller, be provided with in described infrared detection mechanism and pass through three infrared emission sensors that direction sets gradually along people's car, adjacent infrared emission transducer spacing is 60cm.
2. according to claim 1 a kind of based on infrared people's car automatic classification lane device, it is characterized in that being provided with microprocessor in controller, and the power circuit, data acquisition circuit, storer, network communications circuits, display circuit, the warning circuit that are connected with microprocessor respectively.
3. according to claim 2 a kind of based on infrared people's car automatic classification lane device, it is characterized in that also being provided with the camera be connected with controller, be provided with the image processing circuit be connected with microprocessor in controller, the input end of image processing circuit is connected with camera.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201420741414.5U CN204203991U (en) | 2014-12-02 | 2014-12-02 | Based on infrared people's car automatic classification lane device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201420741414.5U CN204203991U (en) | 2014-12-02 | 2014-12-02 | Based on infrared people's car automatic classification lane device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN204203991U true CN204203991U (en) | 2015-03-11 |
Family
ID=52661930
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201420741414.5U Expired - Fee Related CN204203991U (en) | 2014-12-02 | 2014-12-02 | Based on infrared people's car automatic classification lane device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN204203991U (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109165591A (en) * | 2018-08-16 | 2019-01-08 | 大连民族大学 | road pedestrian classification method |
-
2014
- 2014-12-02 CN CN201420741414.5U patent/CN204203991U/en not_active Expired - Fee Related
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109165591A (en) * | 2018-08-16 | 2019-01-08 | 大连民族大学 | road pedestrian classification method |
CN109165591B (en) * | 2018-08-16 | 2020-10-09 | 大连民族大学 | Road pedestrian classification method |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US12056936B2 (en) | Model generating apparatus, method and program, and prediction apparatus | |
CN102765365B (en) | Pedestrian detection method based on machine vision and pedestrian anti-collision warning system based on machine vision | |
CN103942959B (en) | A kind of lane detection method and device | |
Vaitkus et al. | Driving style classification using long-term accelerometer information | |
CN111932901B (en) | Road vehicle tracking detection apparatus, method and storage medium | |
CN104103030B (en) | Image analysis method, camera apparatus, control apparatus and control method | |
CN101258512A (en) | Method and image evaluation unit for scene analysis | |
CN108230254A (en) | A kind of full lane line automatic testing method of the high-speed transit of adaptive scene switching | |
CN103902976A (en) | Pedestrian detection method based on infrared image | |
KR102472075B1 (en) | System and method for supporting automatic detection service based on real-time road image and radar signal analysis results | |
CN109080640A (en) | For providing the method for lethargic sleep alarm in vehicle | |
CN103559508B (en) | A kind of based on continuous Adaboost video vehicle detection method | |
KR102428765B1 (en) | Autonomous driving vehicle navigation system using the tunnel lighting | |
CN109444872B (en) | Pedestrian and vehicle distinguishing method and device, computer equipment and storage medium | |
JP2010132056A (en) | Sensing device, sensing method, and vehicle control device | |
CN108804987B (en) | Door opening and closing state detection method and device and people flow detection system | |
JP4600929B2 (en) | Stop low-speed vehicle detection device | |
CN103456182B (en) | A kind of road edge detection method based on distance measuring sensor and system thereof | |
KR101236234B1 (en) | Detection system of road line using both laser sensor and camera | |
CN204203991U (en) | Based on infrared people's car automatic classification lane device | |
CN105006151B (en) | A kind of dynamic vehicle detection method based on weak magnetic sensor | |
US20120253648A1 (en) | Apparatus and method for generating traffic information | |
CN112614156A (en) | Training method and device for multi-target tracking network model and related equipment | |
CN104392201A (en) | Human fall identification method based on omnidirectional visual sense | |
Sun et al. | A new fall detection algorithm based on depth information using RGB-D camera |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150311 Termination date: 20171202 |
|
CF01 | Termination of patent right due to non-payment of annual fee |