Sensor Block Object Path Detection for Workplace Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current workplace monitoring systems face challenges in efficiently detecting object paths and human interactions within a workplace environment while maintaining privacy and reducing data processing and storage overhead.
Innovation Solution
A method involving sensor blocks equipped with image sensors and motion sensors that capture and transmit anonymized object paths, adjusting frame rates based on human presence and time, to derive object paths and engagement events, and offload data to a computer system for processing, thereby reducing data transport and storage overhead while maintaining privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video feeds are captured and transmitted continuously at high frame rates to detect object paths and human interactions, then detection precision and responsiveness are improved, but data transport overhead and storage requirements increase significantly
Solution Approach 1:
The system extracts only the essential information (object paths, human interactions, engagement events) from the video feed rather than transmitting the entire video stream. Image sensors capture video frames, but only derived path data and event data are transmitted to the computer system, significantly reducing data overhead while maintaining detection precision.
Solution Approach 2:
The video processing is segmented into multiple stages: local preprocessing at the sensor block to extract object paths, intermediate processing to identify human interactions, and final analysis at the computer system. This segmentation allows each component to handle only the necessary data for its specific function, reducing overall data transmission requirements.
2Object-affected harmful factors
If anonymization processing is applied to video feeds to protect privacy, then privacy protection is improved, but data processing complexity increases
Solution Approach 1:
Instead of anonymizing video feeds after capture and transmission, the system inverts the approach by never capturing identifiable personal information in the first place. The image sensors and processing algorithms are designed to detect only abstract patterns (object paths, human interactions) that inherently exclude personal identification, achieving privacy protection without complex post-processing anonymization.
3Speed
If frame rates are increased to capture fast movements and interactions, then detection responsiveness is improved, but energy consumption and data overhead increase
Solution Approach 1:
The system dynamically adjusts the frame rate of image sensors based on detected motion levels and interaction intensity. During periods of high activity or fast movement, the frame rate increases to maintain detection responsiveness. During low-activity periods, the frame rate decreases to reduce energy consumption and data overhead, optimizing the balance between responsiveness and resource usage.
Data Source
AI summary
A method for detecting object paths in a workplace, at a sensor block, includes responsive to detecting absence of motion, capturing an initial sequence of frames at a baseline frame rate at a camera and for each frame in the initial sequence of frames: detecting an initial constellation of objects; and transmitting a container representing the initial constellation of objects to a computer system. The method further includes, responsive to detecting motion: capturing a frame at the baseline frame rate at the camera; detecting a first constellation of objects, including a set of humans, in the frame; calculating a quantity of humans; transitioning the camera to a first frame rate; capturing a second sequence of frames at the first frame rate; detecting a second constellation of objects in the second sequence of frames; deriving a set of object paths; and transmitting the set of object paths to the computer system.