Integrating Wearable Cameras with AI for Threat Detection
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Solution Overview
Problem
Disparate security surveillance systems, such as intrusion, access control, and CCTV systems, operate independently, limiting their ability to provide comprehensive and integrated security insights and alerts, especially in large or critical infrastructure environments.
Innovation Solution
A seamless integration of wearable cameras with locator sensors, graphical user interfaces, and artificial intelligence modules that process video and location data to detect and model threats, combining data from various sources like radar, video, and audio feeds to provide enhanced situational awareness and alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If security systems (intrusion, access control, CCTV) operate independently as separate systems, then each system can function with simple individual architecture, but the system fails to provide comprehensive security insights and integrated threat detection
Solution Approach 1:
The patent combines multiple independent security systems (CCTV, access control, intrusion detection) into a unified integrated security system. The processor receives and processes data from all these separate systems simultaneously, merging their functionalities to provide comprehensive security monitoring and threat detection that none of the individual systems could achieve alone.
2Reliability
If multiple independent security systems are integrated into a unified system, then comprehensive threat detection and situational awareness are achieved, but the system complexity and processing requirements increase
Solution Approach 1:
The processor acts as an intermediary that receives data from multiple independent security systems, processes and analyzes the combined information, and generates integrated security insights. This intermediary component manages the complexity of integration while enabling reliable threat detection by systematically processing inputs from CCTV, access control, and intrusion detection systems.
3Measurement precision
If wearable cameras with locator sensors are used for personnel monitoring, then real-time location tracking and video annotation are achieved, but the device complexity and power consumption increase
Solution Approach 1:
The wearable camera device is designed with multi-functionality, incorporating both video capture and location tracking capabilities in a single device. The locator sensor provides GPS location data that is automatically integrated with video footage, allowing the device to perform multiple security functions simultaneously without requiring separate equipment for each function.
Data Source
AI summary
A security system having a seamless integration wearable, portable, personal or body cameras for observant personnel, a locator sensor associated with each camera, a graphical user interface (GUI) module having a display, and a processor connected to the cameras and the locator sensor associated with each camera, and connected to the GUI module. Video from the cameras may be fed to the GUI. The video may be annotated by the processor with locations from locator sensors associated with the cameras. The display may provide a visualization of the location of each camera. The processor may incorporate an artificial intelligence module to process the video and locations, and based on results of processing the video and locations, can detect and model threats from the video and locations. An assessment of the threats, based on models of the threats, may result in alerts.