Thermal Camera Tracing System for High-Resolution Identification
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Solution Overview
Problem
Conventional camera surveillance systems struggle to accurately identify and track individuals in real-time due to limitations in resolution and the complexity of existing tracing algorithms, especially when there are multiple objects or background noise, making it difficult to perform effective person recognition and tracing.
Innovation Solution
A camera tracing and surveillance system utilizing thermal image coordinates, which includes an infrared thermal image camera, a tracing and surveillance camera, a position control device, and a control system for binarizing thermal images to extract position coordinates and control the tracing camera for high-resolution image capture and identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If whole area surveillance cameras are used to cover a predetermined wide area, then the surveillance coverage area is improved, but the image resolution deteriorates making it impossible to accurately identify faces
Solution Approach 1:
The system employs a movable tracing and surveillance camera that can dynamically adjust its position and orientation to follow targets within the surveillance area. This dynamic positioning capability allows the system to maintain high-resolution imaging of specific targets while the fixed camera continues to provide wide-area coverage, thus resolving the contradiction between coverage area and image resolution.
Solution Approach 2:
The fixed surveillance camera acts as an intermediary that detects targets in the wide surveillance area and provides their position information. This position information is then used to control the movable tracing camera to follow and capture high-resolution images of the detected targets, thereby bridging the gap between wide-area coverage and high-resolution identification.
2Difficulty of detecting and measuring
If conventional tracing algorithms are used to track moving objects, then object detection capability is improved, but the system complexity and computational requirements worsen
Solution Approach 1:
The system applies different processing approaches to different parts of the surveillance task. The fixed camera performs simple target detection and position extraction, while the movable camera focuses on high-resolution imaging of identified targets. This division of labor simplifies the overall system complexity while maintaining effective detection and tracking capabilities.
Solution Approach 2:
The system replaces complex computational tracing algorithms with a simpler mechanism-based approach. Instead of using sophisticated software algorithms to track and follow targets, the system uses the physical movement and positioning capabilities of the movable camera, controlled by position information from the fixed camera, to achieve target tracking with reduced computational complexity.
3Ease of manufacture
If conventional cameras are used for surveillance, then the system cost is reduced, but the ability to accurately identify persons in low-light or complex background conditions deteriorates
Solution Approach 1:
The system extracts and utilizes the thermal imaging capability, which is particularly sensitive to temperature differences and can detect targets in low-light conditions. By incorporating this specialized sensing capability, the system achieves improved target detection and identification accuracy without significantly increasing overall system cost, as thermal imaging is used strategically rather than throughout the entire surveillance system.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate real-time identification and tracking of individuals within a surveillance area with enhanced resolution, simplifying the tracing process and overcoming limitations of existing methods by using thermal imaging for position coordination and binarization-based image processing.
Implementation Method 1
an infrared thermal image camera for capturing an image of a predetermined surveillance area and providing the captured image as a thermal image
Data Source
AI summary
A camera tracing and surveillance system and method for security using a thermal image coordinate, whereby an image having high resolution for identification in which a person can be accurately identified within a surveillance area and identity of the person can be accurately checked, can be obtained using a simple algorithm.To this end, the person within the surveillance area is identified and a position coordinate of the person is extracted from a thermal image captured by a thermal image camera, and a tracing and surveillance camera traces the person, enlarges an image of the person, and captures the enlarged image based on the extracted position coordinate so that an image having high resolution for identification can be obtained.