Presence Detection Using Radar and Depth Sensors
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Solution Overview
Problem
Current security systems fail to detect immobile persons, such as sleeping individuals, in areas like ATM vestibules, as they do not move sufficiently to register on camera systems, leading to difficulties in monitoring and potential deterrence of loitering, and also struggle with detecting objects or persons in multiple rooms while maintaining privacy.
Innovation Solution
A combined video surveillance system integrating a camera device with a sensor system, including a radar or depth camera, that generates a model of the background, compares data maps over time to identify foreground frames, and detects loitering individuals by analyzing these frames, providing alerts when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a camera system is used to monitor an area, then visual image data can be captured, but immobile persons cannot be detected as they blend into the background
Solution Approach 1:
The patent combines a camera system with a sensor system (radar or depth device) into an integrated monitoring system. The camera captures visual image data while the sensor system detects presence through non-visual means, allowing the system to detect immobile persons that would be invisible to camera-only systems. The processor correlates data from both systems to identify when a person is present but not moving, solving the problem of detecting stationary individuals.
Solution Approach 2:
The sensor system acts as an intermediary that detects the presence of immobile persons through alternative physical parameters (such as depth information or radar signals) that are not dependent on visual appearance or movement. This intermediary system bridges the gap between what the camera sees (background) and what actually exists (a person), enabling detection through a mediating detection mechanism.
2Productivity
If video analytics systems track movement to detect loitering, then moving objects can be identified, but sleeping or immobile persons are missed
Solution Approach 1:
The system merges traditional video analytics that track movement with a sensor-based presence detection system. While video analytics continue to monitor moving objects for loitering behavior, the sensor system independently detects the presence of immobile persons through non-visual parameters. The processor integrates both data streams, ensuring that persons who are sleeping or completely stationary are detected through the sensor system rather than being missed by movement-based analytics alone.
3Reliability
If a radar or depth device is used to detect presence, then immobile persons can be detected, but the system complexity increases
Solution Approach 1:
The sensor system is designed to serve multiple functions: it detects the presence of persons, determines whether they are moving or immobile, and provides data that complements video analytics. This multi-functional approach means that a single sensor system handles what would otherwise require separate detection mechanisms, reducing overall system complexity while maintaining high detection reliability for both moving and immobile persons.
Solution Approach 2:
The system uses the sensor system to create a presence map or data representation of the monitored area that parallels the visual data from the camera. This copied presence information from the sensor system can be processed and correlated with video analytics data, allowing the system to leverage existing video infrastructure while adding presence detection capability through a complementary data stream rather than requiring entirely new complex systems.
Data Source
AI summary
A computer-implemented method for detecting a person in a room using a sensor, such as a radar sensor or depth cameras is provided. The method can be used to detect sleeping persons in a publically accessible location to prevent loitering. Furthermore, the method can be used to identify which rooms amongst a plurality of rooms are occupied, for example changing rooms.


