AI Camera and Radar Fusion for Pre-Crime Suspicion Detection
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Solution Overview
Problem
Existing systems struggle to detect signs of potential crimes before they occur, making it difficult to prevent them effectively.
Innovation Solution
A suspicious person alarm notification system utilizing cameras with artificial intelligence and radar to capture images and vital information, calculating a crime index based on vital and motion information to identify suspicious individuals and trigger alarms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If behavior identification is based on actually performed behaviors only, then the system can detect abnormal behaviors, but it cannot detect signs of crime before the crime is actually performed
Solution Approach 1:
The system performs preliminary analysis of behavior patterns to identify suspicious persons before they commit crimes. By continuously monitoring and analyzing behavior sequences, the system detects anomalies that indicate potential criminal intent, enabling preventive action before the actual crime occurs.
Solution Approach 2:
The behavior analysis is segmented into multiple sequential stages: basic behavior recognition, behavior sequence construction, anomaly detection, and suspicious person identification. This segmentation allows the system to detect early signs of criminal behavior at each stage rather than waiting for the complete crime to occur.
2Measurement precision
If multiple types of information (vital information and motion information) are acquired and analyzed, then the suspicious person detection accuracy is improved, but the system complexity increases
Solution Approach 1:
The system merges radar-based vital information acquisition with camera-based motion information acquisition into an integrated analysis framework. By combining these different information sources and analyzing them together through a unified suspicious person likelihood calculation, the system achieves higher detection accuracy while managing complexity through integration rather than separate independent systems.
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
Efficiently detects suspicious persons with signs of crime, supporting proactive crime prevention by identifying potential threats before they materialize.
Implementation Method 1
a radar and being configured to capture an image of a person; and a server configured to communicate with the camera, in which the camera is configured to receive a signal emitted by the radar and reflected by an object present in an emission direction of the radar, acquire vital information on the person from the signal
Data Source
AI summary
A suspicious person alarm notification system includes one camera including artificial intelligence and a radar and capturing an image of a person, and a server communicating with the camera. The camera receives a signal presenting in an emission direction of the radar, acquires vital information on the person from the signal, acquires, by using the artificial intelligence, motion information on the person from a captured image, calculate an index indicating suspicious person likelihood of the person based on the vital information and the motion information on the person, and transmit, to the server, person information related to the person in response to determining that the index is equal to or greater than a threshold value. The server outputs an alarm indicating that a suspicious person is detected.