Intelligent Ai Monitoring Camera, Conveyor Belt Monitoring System Based on Ai Camera Intelligent Ai

Conveyor Abnormal Detection Camera(CADC)Product Overview:As an excellent transmission device with strong transport capacity, high transmission efficiency and long transmission range, the conveyor belt is used in a variety of scenarios. However, once there are sharp objects involved or the conveyor belt works for a long time and

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Conveyor Abnormal Detection Camera(CADC)

Product Overview:
As an excellent transmission device with strong transport capacity, high transmission efficiency and long transmission range, the conveyor belt is used in a variety of scenarios. However, once there are sharp objects involved or the conveyor belt works for a long time and wears greatly, the conveyor belt will scratch, or even appear a complete tear fault in a very short time. If it is not discovered in time, the transport work will not work properly, and the repair works will be time-consuming and costly. Therefore, in order to effectively detect the damage, judge whether the conveyor belt can continue to work. By means of image detection, this product can process and analyze the image information of the conveyor belt efficiently, effectively and correctly in the camera, and judge whether there is a fault.
Compared with the contact detection method, the image processing method has great advantages to judge the working condition of the conveyor belt. The contact detection method is based on whether the pressure causes linear deformation of the conveyor belt. This force-sensing method cannot achieve other functions in the case of additional equipment installation. While using the camera for image detection, the object on the conveyor belt can also be photographed to meet other functional requirements.

Product Feature:
1.The product is deployed in a specific area of the conveyor belt, which circulates through the detection area during its operation.
2.This product can also carry other functions, the calculation process can be completed in the camera.
3.This product can install 4G module to realize wireless data transmission.
4.Multiple cameras can be controlled by a back-end system to form a multi-camera system.

Key Technology:
The breakage of the transmission belt only occupies a part of the image of the conveyor belt, which has different visual features from the surrounding image and can be regarded as a significant area of the whole image.Therefore, introducing visual significance into detection can greatly improve the time and efficiency of damage detection and location.

Camera hardware configuration:

2 million star level 1 / 1.8 "CMOS D-SHORE AI open platform barrel network camera;
High efficiency white light array lamp is built in the device, low power consumption;
The device has built-in electric zoom lens, easy to operate and stable zoom process;
Support the distribution and operation of AI model, generate test results and upload to the business platform;
It supports the detection of specific targets and classifies the detection results, which can be uploaded to the business platform;
Support the video task, analyze the real-time video, analyze according to the set frame rate, and upload the results according to the set alarm interval;
Support capture round patrol task, according to the set time interval capture analysis, and upload the results according to the set alarm interval;
It supports 4 model package storage, and each model package supports 1 Detection Model and 4 classification models;
It supports 16 kinds of target detection and classifies 4 kinds of targets;
It supports the model scheduling function in the capture task mode, and supports the serial execution of up to 4 model packages;
It supports the configuration of event rules, and the detection and classification results are filtered according to the rules set to generate alarms;
Support area detection target statistics and cross-line statistics, statistical results superimpose OSD;
Minimum illumination: Color: 0.0005lux @ (f1.2, AGC on) black and white: 0.0001lux @ (f1.2, AGC on), 0 lux with IR;
Lens: (zoom) 8-32mm @ f1.8, horizontal FOV: 37.7 ° ~ 15.1 °, vertical FOV: 21.0 ° ~ 8.7 °, diagonal FOV: 43.4 ° ~ 17.3 °;
Wide dynamic: ultra wide dynamic range up to 120dB, indoor backlight environment monitoring;Video compression standard: h.265/h.264/mjpeg;
Maximum image size: 1920 × 1080;
Storage function: support micro SD (i.e. TF Card) / micro SDHC / micro SDXC card (128GB or 256gb) disconnected local storage and continuous transmission, NAS (NFS, SMB / CIFS support), support SD card encryption and SD status detection function with D-SHORE black card;
Interface type: swing line;
Communication interface: one RJ45 10m / 100M / 1000m adaptive Ethernet port; RS-485 (half duplex, D-SHORE, pelco-p, PELCO-D, self adaptive);
Power output: DC12V 200mA;
Audio interface: audio input: support 2-way 3.5mm jack line in; audio output: support 1-way 3.5mm jack line out;
Alarm interface: 3 inputs, 2 outputs (alarm output maximum support AC / DC24V 1a); 
Reset button: support;
Working temperature and humidity: - 30 ºC ~ 60 ºC, humidity less than 95% (no condensation);Power supply: DC: 12V ± 20%, support anti reverse connection protection; POE: 802.3at, class 4;
Power interface type: three core power interface;
Power consumption: dc:12v, 1.3A, max:15.0w; poe: (802.3at, 42.5v-57v), 0.3A to 0.4A, max:17.0w;
Protection grade: IP66;
Distance of supplementary light: white light: 80m;
Product size (mm): 206.5 × 103.9 × 100 mm;
Package size (mm): 385 × 158 × 155mm;
Bare weight: fuselage weight: 1450g;
Packing weight: with packing weight: 2300G;
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