Visual Learning & Monitoring (VLM) for Multi-Domain AI-Driven Safety and Security

In industrial manufacturing environments, smoke detection provides real-time and precise safety monitoring, making it especially suitable for areas with dense production equipment and high fire risk. When the system detects the presence of smoke, it immediately notifies managers, serving as an early warning for potential fires or equipment malfunctions. This helps reduce accident risks and protects personnel and property. Compared to traditional smoke sensors, visual smoke detection can identify anomalies before smoke concentrations reach sensor trigger thresholds, offering an earlier warning mechanism that allows managers to take proactive measures. The system does not rely on sensor placement limitations, providing broader coverage and avoiding monitoring blind spots. It is also suitable for monitoring smoke emissions outside factory premises, ensuring compliance with environmental regulations while alerting to abnormal conditions. By leveraging visual smoke detection, enterprises can anticipate risk sources, respond promptly to potential hazards, and significantly enhance operational safety, environmental compliance, and continuity.

Electronic Fencing (Human Detection)

Electronic fencing systems offer flexible virtual boundary setups for large open spaces, such as ski resorts or large event venues, enabling real-time monitoring of personnel entry and exit within designated areas. This is particularly useful under adverse weather conditions or when venue access needs are restricted, allowing managers to quickly adjust visitor access zones. Electronic fencing not only dynamically adjusts virtual boundaries but also collects personnel flow data for in-depth analysis, identifying potential safety risks and optimizing management processes. The system can adjust control measures based on real-time crowd conditions, enhancing both safety and operational efficiency. Additionally, recorded entry and exit data supports managers in developing precise security strategies, improving crowd management, ensuring visitor safety, and providing data-driven insights for overall site management.

Public Safety (Hazardous Behavior Detection) / Long-Term Care (Fall Detection)

 In public transportation environments, hazardous behavior detection systems monitor passenger actions, such as track trespassing or climbing, in real time and trigger alerts. When such behaviors are identified, the system quickly notifies staff to take emergency actions, effectively preventing accidents. Through visual analysis technology, the system significantly reduces the burden of manual inspections and improves response speed, ensuring more accurate and efficient safety management in high-traffic areas. Accumulated behavior data also helps management analyze potential risk hotspots, further optimizing station design and safety strategies. For long-term care scenarios, fall detection systems provide real-time monitoring and alerts for incidents within care facilities and home care settings. When a fall is detected, the system immediately issues an alarm and notifies caregivers to provide assistance, preventing further injury due to delayed response. This technology effectively supports routine caregiver patrols, reducing the pressure of manual monitoring while enhancing overall care efficiency. Event data recorded by the fall detection system also aids management in risk assessment and environmental improvements, offering better protection for high-risk individuals, improving care quality, and minimizing accident risks.