For construction sites, applications include: - Safety helmet recognition - High-visibility clothing recognition - Safety harness recognition - Smoking/phone use detection - Vehicle detection - Illegal parking recognition - Intrusion detection - Foot traffic monitoring - Unauthorized absence detection - On-duty sleep detection - Fall detection - Crowd gathering recognition - Water accumulation detection - Fire lane obstruction monitoring - Gate status monitoring - Security guard uniform recognition - Face mask recognition
Leveraging smart terminals to innovate real-time data collection and transmission methods, this system integrates computer vision AI processing capabilities, big data analytics, and multiple digital AI technologies. It establishes a comprehensive smart construction site video analytics system.
Construction Site Access Control
Employ facial recognition turnstiles or full-height gates to prevent unauthorized personnel from entering the site and deter unauthorized climbing access.
Safety Helmet, High-Visibility Vest, and Safety Harness Recognition
Through AI edge computing platform algorithms, automatically detect safety helmet usage in construction zones, issue real-time alerts, and reduce workplace accidents.
For workers in special environments like construction sites, automatically identifies compliance with reflective workwear requirements, providing real-time reminders and records to prevent accidents while enabling low-cost, high-efficiency oversight.
Using safety harness recognition algorithms, automatically detects whether personnel in hazardous work zones are wearing safety harnesses—particularly focusing on scenarios where workers are performing high-altitude tasks without harnesses. Immediate alerts are triggered upon detecting non-compliance.
Intrusion Detection, Fall Detection, Crowd Detection
Utilizing AI computing platform algorithms to instantly identify unauthorized personnel entering restricted zones.
Automatically detects falls within construction sites, triggering real-time alerts for prompt rescue. This reduces human oversight errors and costs while enhancing public safety.
Utilizing dynamic video streams captured by the AI computing platform, it performs real-time personnel counting within video zones, collects data, and monitors fixed areas for large gatherings. This enables emergency alerts and on-site safety control.
Fire Lane Occupancy
Integrated with on-site cameras, the system provides real-time detection of abnormal conditions such as occupied or blocked safety passages. It issues alerts to security personnel for prompt clearance, enhancing safety management.
