VisionMind · VisionMind Traffic Violation Governance System is an intelligent analysis platform designed for smart transportation. It can promptly detect various situations on urban and intercity traffic roads: abnormal events such as congestion, accidents, road damage, construction, disasters, and violations. Combined with the ability to perceive traffic parameters, it conducts intelligent analysis to enhance traffic coordination and management.
It has 25 algorithms for identifying motor vehicle violations, 7 algorithms for identifying non-motorized vehicle violations, 18 algorithms for identifying traffic events, and 9 algorithms for analyzing traffic flow parameters. The types of violations, events that can be identified, and the efficiency exceed those of mainstream front - end traffic police equipment.
It extends the capabilities of old - style traffic police equipment with single functions, and turns non - intelligent video surveillance such as road monitoring, vehicle checkpoints, and security monitoring into high - performance electronic traffic police.
It can be deployed and put into use on the same day, and can identify violations and various traffic abnormal events immediately, without the need for months of construction.
Multiple algorithm models can be configured for a single video stream, and it can be flexibly deployed according to the governance needs of intersections, road sections, and highways.
According to the national standard "Technical Specifications for Image Evidence Collection of Road Traffic Safety Violations" GAT 832-2014, it automatically retains complete pictures and video evidence to achieve a closed - loop of evidence collection and punishment.
Supremind's VisionMind Motor Vehicle Illegal Identification System, based on the new - generation deep - learning video analysis technology, utilizes various existing video surveillance resources such as security monitoring, checkpoints, road monitoring, and electronic traffic police to automatically detect, warn, and collect evidence of 25 types of motor vehicle violations. It helps traffic police conduct efficient and accurate off - site law enforcement, relieve the increasing traffic management pressure, prevent and reduce traffic accidents, and make urban traffic safer and more orderly.
Supremind's VisionMind non-motorized Vehicle Illegal Identification System, using video analysis technologies such as image recognition and deep learning, based on various existing video surveillance resources such as security monitoring, security checkpoints, traffic police monitoring, electronic traffic police, and intelligent checkpoints, automatically detects and collects evidence of 7 types of non-motorized vehicle violations on the road. It supports connecting to third - party face recognition services or identifying the identities of violators through non-motorized vehicle license plates to complete the law - enforcement closed - loop. At the same time, it automatically captures and archives the information of violators of express delivery and takeaway vehicles, supports exporting the violation data of employees under enterprises, and supports exporting the records of frequent traffic violators to improve the compliance rate of non-motorized vehicles and traffic civilization.
Supremind's VisionMind Traffic Incident Perception System, based on video intelligent analysis technology, accurately and quickly identifies various traffic events. It also has the function of collecting traffic parameters. When the traffic status is abnormal, it can automatically alarm and provide the location information of the traffic event, as well as the captured pictures and video evidence of the event, ensuring the safe and efficient operation of the traffic system.
