Crowd Count & Pose Detection


Privacy Protection

Real-time Monitoring

Adaptation to Complex Environments

Low Interference From Ambient Light


Non-contact Human Fall Detection

Luminwave’s 3D Time-of-Flight (TOF) camera consistently monitors and analyzes people’s movements and posture changes in real-time. Leveraging deep learning algorithms, it can detect abnormal postures, signaling the risk of a potential fall and issuing a timely warning. This technology finds applications in various settings, including public institutions, medical facilities, and homes, particularly in the context of remote care for the elderly and children.

Automatic Detection and Recognition

To enhance the detection accuracy and efficiency of the automatic ticket inspection system and facilitate the swift passage of individuals with mobility impairments or large luggage carriers, the Luminwave’s 3D Time-of-Flight (TOF) camera rapidly activates the induction system by precisely recognizing hand gestures. This approach reduces inspection time, offering customers a more seamless travel experience.

Detecting Human Posture and Monitoring Body Type

Luminwave’s 3D Time-of-Flight (TOF) camera automatically and precisely monitors and tracks human posture. Leveraging AI learning algorithms, it observes body shape and analyzes behavior to detect abnormal activities in advance, issuing early warnings to ensure privacy and security.

Intelligent Statistics and Analysis of Passenger Flows

The 3D Time-of-Flight (TOF) camera installed in subways, train stations, exhibition halls, supermarkets, and other crowded spaces can automatically identify individuals entering the surveillance area. Utilizing depth map information and deep learning algorithms, it can generate passenger flow statistics while safeguarding people’s privacy. By continuously monitoring real-time data on crowd density, walking routes, posture, speed, and other factors, it serves as a foundation for developing more precise marketing strategies, ensuring crowd safety, and issuing early warnings, among other applications.

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