Battery-Powered Optical Sensor Arrival Detection
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Solution Overview
Problem
Existing occupancy monitoring systems using battery-powered optical sensors face challenges in efficiently detecting human arrival and departure while conserving energy, leading to potential inaccuracies and reduced battery life due to high energy consumption during precise temporal detection.
Innovation Solution
The system employs an asymmetrical prioritization approach, using lower-resolution images for frequent arrival detection and higher-resolution images for confirmation, and vice versa for departure detection, optimizing energy usage and extending battery life by adapting imaging frequencies and resolutions based on occupancy modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution images are captured frequently for occupancy detection, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The system dynamically adjusts imaging resolution and frequency based on occupancy mode. During arrival detection, it uses lower resolution at higher frequency; during departure detection, it uses higher resolution at lower frequency. This dynamic adaptation resolves the contradiction by matching resource consumption to actual detection needs at different operational phases.
Solution Approach 2:
The system implements periodic imaging with variable intervals based on occupancy state. Instead of continuous high-resolution imaging, it captures images at predetermined intervals that adapt between arrival and departure modes, reducing overall energy consumption while maintaining detection precision when needed.
2Measurement precision
If imaging frequency is increased for arrival detection, then temporal precision is improved, but use of energy increases
Solution Approach 1:
The system applies asymmetrical imaging strategies for arrival versus departure detection. Arrival detection uses higher imaging frequency with lower resolution, while departure detection uses lower frequency with higher resolution. This asymmetrical approach optimizes temporal precision for arrivals without unnecessarily consuming energy during departures.
Solution Approach 2:
The system applies partial action by using lower resolution images for arrival detection where high temporal precision is needed but spatial detail is less critical. This partial application of full-resolution imaging reduces energy consumption while maintaining sufficient detection capability for the specific operational phase.
3Ease of operation
If battery-powered optical sensors are used for occupancy monitoring, then device portability is improved, but duration of action decreases
Solution Approach 1:
The system changes operational parameters (resolution, frequency, mode) based on occupancy state to extend battery life. By switching between arrival and departure modes with different imaging characteristics, the sensor block optimizes energy consumption patterns, directly extending the duration of action while maintaining portability benefits.
Data Source
AI summary
A method including, accessing an occupancy of the workspace. The method also includes, in response to the occupancy status indicating vacancy: at a first time, recording a first image and a second image of the workspace, the first image and the second image characterized by a first resolution; and executing an arrival detection model based on the first and second image. The method further includes, in response to detecting arrival at the workspace: at a third time, recording a third image of the workspace, the third image characterized by a second resolution greater than the first resolution; and executing an occupancy detection model based on the third image. The method additionally includes, in response to detecting occupancy of the workspace: updating the occupancy status to indicate occupancy; and transmitting the occupancy status to a remote scheduling system.