1. Background analysis
With the rapid advancement of technologies such as the Internet of Things, big data, and mobile Internet, urban management's increasing demand for information resources, and the general public's new demands for government services, smart urban management is facing a once-in-a-lifetime development opportunity.
development path:
1) Digital urban management: changes in urban management mechanisms - timely communication, in place responsibilities, timely disposal, and efficient operation
Nine standard subsystems: wireless data collection, call center acceptance, collaborative work, geocoding, large-screen supervision and command, comprehensive evaluation, basic data resource management, construction and maintenance, and data exchange;
2) Smart urban management: utilization of information technology - intelligence and intelligence
Upgrading of smart functions and smart transformation and upgrading of industry applications: hotline integration, WeChat applet/APP, video surveillance, AI capture, smart manhole covers, etc.;
3) Urban comprehensive management service platform: adapting to the requirements of high-quality development - "clean, tidy, orderly, safe, and satisfactory to the masses"
Construction content: business guidance, command-and-military coordination, industry applications, public services, data aggregation, and data exchange;
4) Urban operation and management service platform: an important measure for urban modernization governance - one network for communication, one network for unified management, and one network for all services
Construction content: business guidance, command-and-military coordination, industry applications, public services, data aggregation, data exchange, operation monitoring, decision-making suggestions, and comprehensive evaluation.
2. Introduction to smart urban management solutions
TSINGSEE Qingxi Video uses video + AI and other technologies to realize real-time supervision, active discovery, and intelligent analysis of violations and illegal events in urban management, solve problems such as untimely manual inspections, insufficient supervision, and low inspection efficiency, and create dynamic monitoring, A smart urban management model with early warning and precise command.
With the help of video images collected by front-end equipment, the AI algorithm platform can realize intelligent detection of regulatory scenes and detect behaviors that affect the city appearance and street order, such as illegal parking of vehicles, operating on the road, illegal umbrellas, illegal billboards, etc., and will An alarm is triggered immediately, and the system will capture screenshots of the scene and report them to the platform, making it easier for managers to view and process them and fix the illegal facts.
3. Highlights of the program
This demand is mainly aimed at street order management. Relying on the data analysis system of the Urban Transportation Center and the municipal bureau's hierarchical supervision platform, combined with video surveillance and big data algorithms, point-based control of all merchants along the street and back streets and alleys in the jurisdiction will be carried out to effectively improve the management of street order. The rate of early detection of stubborn problems such as piling objects on the road, cross-door business, and random parking of shared bicycles, and at the same time, the video data will be saved as the basis for punishment. Options include:
1. Video aggregation
Video surveillance equipment along streets and alleys that are within the scope of urban management supervision are gathered through a unified platform (EasyCVR video intelligent integration and sharing platform) for real-time supervision, video viewing, and alarm linkage. Through the video capabilities of the security monitoring/video aggregation comprehensive management platform EasyCVR, real-time live video monitoring, real-time recording, historical video retrieval and playback, alarm reporting, PTZ control, voice intercom, etc. can be realized at the surveillance site.
2. Algorithm analysis
Based on the functions of video surveillance equipment and intelligent alarm equipment, the AI algorithm platform is used to detect road traffic and illegal activities in real time, and report and alarm in a timely manner to facilitate timely processing by staff. Specifically include:
1) Crowd gathering: Capture and alarm information on the number of people gathering, location information, and crowd gathering event information;
2) Expose garbage: Expose garbage location information, expose garbage time information to capture and alarm;
3) Non-motorized vehicles parked indiscriminately: location information of non-motorized vehicles parked indiscriminately on the street, time information of non-motorized vehicles parked indiscriminately for capture and alarm;
4) Fire: Firework identification, firework detection and alarm under visible light;
5) Dangerous area invasion: time information of the invasion of the dangerous area, capture and alarm at the location of the invasion of the dangerous area;
6) Fire exit occupancy: occupied fire exit location information, occupied fire exit time information;
7) On-duty personnel on duty: information on the time when on-duty personnel are not on duty and location information on when on-duty personnel are not on duty;
8) Video traffic information: analysis of shop traffic.
The urban city appearance and street order management solution built through the AI algorithm capabilities of TSINGSEE Qingxi Video realizes "non-contact" and "intelligent" supervision of illegal activities in the field of urban management, from the traditional sport-based and persistent law enforcement methods to The transformation of the intelligent "off-site law enforcement" supervision model throughout the entire period and in the entire region has reduced the direct contact between urban management team members and illegal actors, effectively reducing the probability of law enforcement conflicts and resistance to the law. Interested users can go to the demo platform for experience or deployment testing.