Human Detection
Human detection module focused on identifying, counting, and analyzing people’s behavior in video. This module can detect human presence, movement paths, abnormal stops, and suspicious behavioral patterns, and it plays a key role in applications such as access control, enhanced security, crowd management, and optimization of public spaces.
Note: All the aforementioned modules are designed based on machine vision technology and perform detection and analysis exclusively through video image processing. These modules operate independently of any auxiliary sensors, and their correct performance depends on the subject or target being within the effective range and field of view of the camera.
MOdules
Intrusion Detection
Detecting unauthorized entry of individuals into restricted or protected areas.
Pose Detection
Analyzing the posture and body position of a person to understand their behavior and physical movements.
Face Identification
Matching and identifying individuals based on facial features for access control and enhanced security.
Crowd Estimation
Estimating the number of people present in a space for crowd management and better planning.
Fall Down Detection
Detecting when individuals fall in order to enhance safety in healthcare, industrial, and caregiving environments.
Work Uniform Detection
Identifying standard work attire to monitor compliance with safety and organizational requirements.
Queue Management
Analyzing queue formation, queue length, and waiting time to optimize services and reduce congestion.
Smoking Detection
Detecting smoking behavior in restricted areas to ensure safety and health.
Helmet Detection
Identifying the use of standard safety helmets to monitor compliance with safety and organizational requirements.
Mobile Detection
Identifying the use of mobile phones in sensitive or industrial environments to reduce errors and safety risks.
Personnel Stay Duration
Measuring the time individuals remain within a specific area for productivity analysis and security purposes.
No Mask Detection
Identifying individuals without masks to monitor compliance with health guidelines.
Pedestrian Wrong Way Detection
Detecting pedestrians moving in an unauthorized or opposite direction to improve safety and traffic order.
Worker Detection
Identifying the presence of workers in industrial or operational environments to monitor activity and ensure safety.
Person Climbing Detection
Detecting attempts by individuals to climb walls, fences, or security barriers.