Operating Voltage: AC 220V; Rated Power: 1,000W; CPU: Intel Xeon E5-2678V3, 2.5GHz, 12 cores 24 threads; Operating System: Windows 10; Maximum Channels: 32; Intelligent Features: Flame detection, smoke detection, human detection, etc.; Response Time: Average flame detection response time 5-20s; Smoke detection response time 5-60s; Human detection response time 5-60s; Video Modes: Analog video, digital video; Video Resolution: CIF, D1, 720p, 1080p; Video Compression: H.264; Network Interface: 2 x RJ45, 100M/1000M adaptive; USB Interface: 4 x USB 2.0, 2 x USB 3.0; Operating Humidity: <93% RH (40°C); Installation Method: Rack-mounted

The intelligent visual image public security event analysis system primarily consists of analog or digital cameras, video analytics servers, central management client software, video encoding and decoding devices, network switching equipment, servers, and monitors. Based on artificial intelligence convolutional neural networks and utilizing GPU servers, the system acquires real-time video stream data from sources such as video storage servers, digital video recorders (DVRs), or IP cameras for analysis and processing. It enables detection of public security events within monitored areas, including flame detection, smoke detection, target lingering detection, area intrusion detection, boundary crossing detection, reverse-direction detection, and safety helmet detection. Meanwhile, the platform’s features—including video preview, video recording and storage, alarm display, linked output, and electronic mapping—provide dual functionality for both public security event detection and video surveillance. The system is compatible with mainstream security cameras from manufacturers such as Hikvision, Dahua, and Uniview. It is suitable for high-ceiling spaces like traffic tunnels, airports, high-speed railway stations, large-scale industrial plants, and coal storage yards; for oil and gas exploration, production, storage, and loading/unloading facilities in the petrochemical industry; for large-scale industrial plants, energy storage stations, generator rooms, power transformers, converter transformers, and nuclear power plants in the electric power industry; and for large-scale joint workshops, warehouses, and processing facilities in the tobacco industry, as well as distilleries, wine cellars, and processing workshops in the brewing industry.

Real-time video surveillance function: Supports 1-, 4-, 9-, 16-, and 32-screen display modes.

Video Playback: The playback function allows retrieval of video recordings from monitored channels, making it convenient for staff to review footage. Compatibility: Supports network cameras, DVRs, and video integration platforms from multiple manufacturers. A single server can connect to video streams of various resolutions, offering strong openness and compatibility.

Video Clarity Anomaly Detection: Detects blurring or obstruction in surveillance footage caused by improper focus, lens damage, foreign object blockage, or intentional obscuring.

Video Brightness Anomaly Detection: Detects overexposure or underexposure in the video feed caused by incorrect camera settings (gain control), abnormal lighting conditions, or deliberate malicious obstruction.

Video shake detection: Detects phenomena such as up-and-down image shaking caused by interference.

Alarm recording function: includes alarm type, alarm time, alarm location, and alarm image records.

Simple structure: Adopting a backend analysis and processing model, video channels can be added or removed at any time according to project requirements, and maintenance operations are simple and feasible.

Time-based monitoring: Set the time period to be monitored; the default is 24 hours a day.

Spatial Deployment: Set the area to be monitored; by default, this is the field of view of the surveillance footage.

Fire detection: Equipped with flame detection and smoke detection functions.

Object Detection: Features detection of point-like objects such as people and vehicles.

Target dwell detection: Detects when an object remains in the deployment area beyond the allowed time.

Area Intrusion Detection: A detection function that identifies when a target enters a designated protected area.

Out-of-bounds detection: Detects when an object crosses a placed line.

Reverse-direction detection: Detection that identifies objects traveling in the opposite direction.

Hard hat detection: A function that detects when a person is not wearing a hard hat.

Algorithm sensitivity: Multi-level adjustable, capable of adapting to surveillance videos in various environments.