Introduction to Mud Truck Rear Cover Anomaly Detection Project
Project Introduction¶
This product is a smart enforcement solution for mud truck rear cover anomalies customized for a city's urban management department. The solution uses artificial intelligence image/video recognition technology to real-time analyze data from urban traffic monitoring platforms, identify suspected mud truck rear cover anomaly images and perform data summarization, and submit them to relevant law enforcement departments for confirmation and punishment. This system empowers the urban management command center to real-time identify and collect violations within the visible range of currently located roads, while simultaneously performing real-time vehicle information indexing and matching with the whitelist mud truck database, achieving timely punishment of violations and blacklisted vehicles, and providing effective data basis for law enforcement departments' police dispatch.
Data Processing Process¶
Supporting Server¶
Product: Smart Visual Analysis Node Server Brand: BillioTech Model: SHARP-80
Actual Test Results¶
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High recognition rate, fast speed - The violation mud truck recognition algorithm that has been put into use is far superior to existing mature products (certain Kang certain vision). The violation mud truck recognition rate reaches >97%. Effectively helps law enforcement personnel efficiently screen out violating mud trucks from tens of thousands of suspected target images daily.
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Algorithm self-evolution, as the city's urban management department uses it more deeply, the mud truck violation judgment ability will improve with the increase in judgment quantity, thus continuously approaching human judgment levels.
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Flexible installation, real-time stability, data security.
This project went online in November 2020 and has been running normally ever since, successfully processing 2.5 million vehicle instances.