As the number of urban vehicles shows a rapid growth trend, traffic congestion and violations are also becoming increasingly common. Problems such as wasting parking spaces, occupying/blocking traffic arteries, and vehicle scratches due to vehicles not parking in designated areas are endless. Manual monitoring of illegal parking not only increases the workload of monitoring personnel, but also causes various problems such as untimely detection, low supervision efficiency and high labor costs.
With the development and maturity of artificial intelligence technology and its increasing application, machine vision is used to replace artificial vision to detect and identify monitoring areas, extract vehicle targets in the area, automatically determine illegal parking behaviors, and automatically recognize license plates, which can accurately and It can quickly detect, capture, collect evidence, and alert motor vehicles for illegal parking behaviors. It can also be combined with sound and light alarm equipment to provide timely and effective reminders for illegal parking behaviors.
The built-in vehicle illegal parking AI recognition algorithm of TSINGSEE Qingxi Video Intelligent Analysis Gateway can support the detection of illegal parking behaviors of motor vehicles, battery vehicles and other models. Combined with ROI delineation, the designated area can be manually designated as a no-parking area, and the areas within it can be Vehicles are identified and labeled. When the algorithm detects that a vehicle is illegally parked in a no-parking area, it will immediately report the event and alarm in the system background, and notify the management personnel to deal with the illegal parking behavior in a timely manner.
The recognition algorithm accuracy of the edge computing AI intelligent analysis gateway can reach more than 90%, and supports the extraction and identification of motor vehicle attributes, such as vehicle color, vehicle model, brand, etc.; supports license plate recognition, including identifying vehicle license plate information, such as license plate number , license plate color, etc.; supports tricycle attribute recognition (top color); supports electric vehicle recognition.
The vehicle illegal parking algorithm of the AI intelligent analysis gateway can be applied in designated areas such as roads, parking lots, shopping malls, communities, and park entrances and exits to detect whether there are illegally parked vehicles in real time.
Connect the cameras deployed at the scene to the Xufan Technology AI intelligent analysis gateway. Through the built-in AI algorithm, the video stream accessed at the scene can be intelligently detected and analyzed. By connecting the edge computing gateway hardware to the video surveillance system EasyCVR platform, it can also perform high-definition video monitoring, recording and playback, cloud storage, retrieval, alarm reminders, voice intercom, PTZ control, cascade sharing, etc. at the surveillance site.
The security monitoring system EasyCVR can provide centralized access and video aggregation management to front-end cameras and other equipment at multiple sites. It can access video surveillance resources on demand, authenticate them, and distribute them across the entire network. The distributed video streams include: RTSP, RTMP , HTTP-FLV, WS-FLV, HLS, Webrtc, etc., can be played on multiple terminal devices, including: TV walls, spliced electronic large screens, computers, mobile phones, mobile APPs, etc., making it convenient for managers to view on-site information anytime and anywhere. Surveillance video.
TSINGSEE Qingxi Intelligent Analysis Gateway currently has multiple versions, each version has a different built-in AI algorithm model. Among them, the intelligent analysis gateway V3 can realize face, human body, vehicle, license plate, behavior analysis, fireworks, intrusion, aggregation, and safety helmet , reflective clothing and other identification. The hardware can provide a variety of algorithm combinations according to the needs of different scenarios, and can be flexibly deployed in various scenarios. It can be applied in safety production, general campuses, smart food safety, smart urban management, smart coal mines and other fields. Interested users can go to the demo platform for experience or deployment testing.
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