Wearable Camera Dual-Stage Image Classification for Real-Time Alerts
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Solution Overview
Problem
Current body-worn cameras for law enforcement lack efficient automatic detection and alert systems for people, objects, and events, limiting their effectiveness in real-time identification and response during missions.
Innovation Solution
A wearable digital video system that uses pre-trained image recognition classifiers to analyze both low and high resolution images, providing alerts through various interfaces, and integrates GPS for location-based activation, enabling real-time detection and confirmation of suspects, objects, and events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high resolution images are processed in real-time for detection, then detection accuracy is improved, but processing time and resource consumption increase
Solution Approach 1:
The patent segments the detection task by using low resolution images for initial real-time processing and high resolution images only for confirmation when needed. This divides the processing workload into two stages: rapid initial detection using computationally efficient low resolution analysis, followed by selective high resolution verification only for potential matches, thereby reducing overall processing time while maintaining detection accuracy.
Solution Approach 2:
The patent applies partial action by processing only a subset of images at high resolution rather than all images. Low resolution processing is performed on all captured images for real-time detection, while high resolution processing is applied selectively only to images containing potential detections that require confirmation, optimizing resource usage and processing time.
2Reliability
If both low resolution and high resolution images are captured and processed, then detection reliability is improved, but device complexity increases
Solution Approach 1:
The patent merges two detection approaches (low resolution real-time detection and high resolution confirmation detection) into a unified dual-stage system. The low resolution classifier provides rapid initial detection while the high resolution classifier provides selective confirmation, and both are integrated within a single wearable camera system that manages processing and communication resources efficiently.
Solution Approach 2:
The patent introduces an intermediary confirmation stage where high resolution image classification acts as a mediator to verify potential detections identified by low resolution processing. This intermediary step filters out false positives from initial low resolution detection while maintaining real-time response capabilities, thereby improving reliability without requiring full high resolution processing of all images.
3Speed
If real-time classification of all images is performed, then response speed is improved, but energy consumption increases
Solution Approach 1:
The patent applies partial action by performing energy-intensive high resolution classification only on a subset of images that contain potential detections, rather than processing all captured images at high resolution. Low resolution classification is performed on all images with minimal energy consumption, while high resolution processing is selectively applied only when needed for confirmation, thereby maintaining response speed while significantly reducing overall energy consumption.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving mission specific data. Converting the mission specific data into attribute classes recognizable by image recognition classifiers, where the image recognition classifiers are pre-trained to detect objects corresponding to the attributed classes within digital images. Obtaining, from a wearable camera system, low resolution images of a scene and high resolution images of the scene. Detecting, within the low resolution images using a low resolution image classifier, an object that corresponds to one of the attribute classes. In response to detecting the object that corresponds to one of the attribute classes, providing, for presentation to a user of the wearable camera system by a presentation system, an first alert indicating a potential detection of the suspect, and providing the high resolution images to a high resolution image classifier. Obtaining, from the high resolution image classifier, a confirmation of the detected object from the low resolution images. In response to obtaining the confirmation, providing, for presentation to the user by the presentation system, a second alert indicating confirmation that the object has been detected.