software platform
Work clothes inspection
Check if personnel in the designated area are wearing work uniforms
Water surface garbage and floating object detection
Detect garbage and floating objects in the specified area
Loess exposure
Detect whether there is exposed loess in the specified monitoring area
Vehicle cleaning duration
Check if the vehicle is cleaned, and record the cleaning time and video.
Smoke detection
Detect if there is obvious smoke in the video footage or within a designated monitoring area
Open flame detection
Detect if there is an obvious flame in the video screen or the specified monitoring area
Not wearing reflective clothing
Detect if people in the specified area are wearing reflective clothing
wisdom campus
Personnel climbing
Used to identify climbing (high-altitude climbing) behavior within a specific area.
Vehicle illegal parking
Detect vehicles parked illegally on roadsides, fire lanes, and no-parking zones, and increase timeout duration and reporting interval.
Personnel wandering
Automatically detect individuals who remain in front of the camera for extended periods and set parameters for the duration of the stay.
Personnel departure
Automatically detect the situation of monitoring personnel leaving a specific work area.
Wisdom Mine
Smoking detection
When a target individual smokes in the monitored area and faces the camera, the system will trigger an alert and automatically save the time, location, and corresponding photos as evidence for punishment. On-duty personnel can remotely or on-site correct the situation after reviewing the uploaded video.
Violation of passenger carry-on inspection
Determine whether workers are engaging in dangerous behaviors, such as lying on or riding mine carts.
Vehicle inspection, vehicle count detection
Identify the operating status of vehicles on major traffic roads.
Face recognition detection
Using facial recognition technology, combined with personnel positioning and precise positioning systems, it is possible to query the trajectory of underground personnel and identify personnel in real time, thus fully realizing the video retrieval function of personnel work scenes.
Off-duty inspection, on-duty sleeping detection
Automatically identify and monitor personnel duty status with 24-hour detection and recognition. By providing alerts, it effectively supervises employees' off-duty behavior, enhancing security in the monitored area, preventing losses or accidents caused by absenteeism, reducing labor supervision costs, and evaluating the quality of monitoring personnel.
Fireworks monitoring
Set up detection zones in the monitoring scene in advance to monitor in real-time for any obvious flames within the zones. Immediately sound an alarm upon detection of smoke or fire.
Tel test
In monitoring scenarios, preset areas where making calls is prohibited. Real-time monitoring is conducted to check if anyone is making calls within these areas. Once detected, an alarm is triggered, and the personnel location monitoring system is activated to capture screenshots as evidence. Relevant personnel can then be subjected to remote or on-site penalties.
Screen obstruction or camera angle movement
Immediately issue an alert and provide location information when surveillance video is obscured or the camera angle is moved.
The Wisdom Kitchen
Wisdom Park
Flame detection
Real-time detection of open flames within the monitored area.
Hard hat detection
Real-time analysis of whether safety helmets are worn according to regulations is conducted by recording on-site video, identifying, tracking, and issuing alerts. If it is found that personnel have not worn safety helmets as required, the system will automatically issue an alert. While reminding the supervisor, the system will automatically save the time, location, and corresponding photos as a basis for punishment. When the on-duty personnel see the uploaded data pictures and texts, they can correct the situation remotely or on-site.
Regional intrusion
Automatically identify individuals who have entered a preset area.
Hard hat detection
Real-time analysis of hard hat wearing compliance is conducted by recording on-site video, identifying, tracking, and issuing alerts. If any personnel are found not wearing hard hats as required, the system will automatically issue an alert, reminding the supervisors while simultaneously saving the time, location, and relevant photos as evidence for penalties. On-duty personnel can remotely or on-site correct the situation upon viewing the uploaded data and images.
Personnel wandering
Automatically detect individuals who remain in the camera's field of view for an extended period of time.
Gathering of people
Real-time counting of the number of people in the video area, marking situations exceeding a certain threshold (freely set) as crowd gathering.
Climbing over the railing
Identify individuals scaling the railing.
Fall Detection
Automatically identify if someone has fallen in a public place.
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086755-86260877
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Add: 7/F, , Building 3, Vanke Xingcheng Commercial Center, 45 Shangxing Road, Xinqiao Subdistrict, Bao'an District, Shenzhen, Guangdong Province, China
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