Sensor Device Presence Detection Energy Reliability
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Solution Overview
Problem
Existing person detection methods are often cumbersome, power-intensive, and unreliable, especially when detecting presence in complex conditions such as movement or multiple screens, and they require frequent reactivation, which is inefficient and costly in terms of energy and resources.
Innovation Solution
A method using a sensor device that performs both high-power and low-power measurements, where low-power measurements are used for initial detection and high-power measurements for verification, allowing for efficient detection of person presence with reduced energy consumption and improved reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If high-power measurements are used continuously for person detection, then detection reliability is improved, but energy consumption increases
Solution Approach 1:
The system implements periodic switching between low-power and high-power measurements. Low-power measurements are performed continuously or frequently to detect potential presence, while high-power measurements are performed periodically at lower frequency for verification. This periodic action maintains detection reliability through regular high-power verification while significantly reducing overall energy consumption compared to continuous high-power operation.
Solution Approach 2:
The detection process is segmented into two distinct stages: initial detection using low-power measurements and verification using high-power measurements. This segmentation allows the system to use computationally inexpensive methods for routine monitoring and reserve expensive high-power measurements for critical verification moments, thereby resolving the contradiction between reliability and energy consumption.
2Use of energy by moving object
If low-power measurements are used for detection, then energy consumption is reduced, but detection reliability deteriorates
Solution Approach 1:
Low-power measurements serve as an intermediary that filters and pre-processes detection data. Instead of relying solely on expensive high-power measurements, the system uses low-power measurements to identify potential presence events, which then trigger verification by high-power measurements. This intermediary approach reduces the frequency of high-power operations while maintaining overall detection reliability.
Solution Approach 2:
The system performs preliminary detection using low-power measurements before committing to high-power verification. This preliminary action allows the system to screen out negative cases without expensive measurements and only activate high-power measurements when there is a reasonable indication of presence, thereby reducing overall energy consumption while preserving detection reliability for actual presence events.
3Reliability
If frequent high-power measurements are performed to maintain active mode, then person presence is reliably detected, but processor power is wasted
Solution Approach 1:
The system applies partial action by using high-power measurements only to the extent necessary for reliable detection and verification. Instead of continuously applying maximum detection power, the system uses low-power measurements for routine monitoring and applies high-power measurements partially and selectively only when verification is needed. This partial action eliminates processor power waste while maintaining presence detection accuracy.
4Use of energy by moving object
If simple detection methods are used, then energy consumption is reduced, but robustness under varying conditions deteriorates
Solution Approach 1:
The system dynamically changes measurement parameters by switching between low-power and high-power measurement modes based on detection needs. This parameter change allows the system to use energy-efficient low-power measurements under stable conditions while transitioning to high-power measurements when robustness is required for verification or under varying conditions, thereby resolving the contradiction between energy consumption and robustness.
Data Source
AI summary
A method including providing a sensor device including one or several sensors. The sensor device is arranged to perform at least one high-power type measurement and at least one low-power type measurement and includes at least one image sensor arranged to depict a person by a measurement of said high-power type. Each of the low-power type measurements over time requires less electric power for operation as compared to each of the high-power type measurements. The method includes detecting a potential presence of the person using at least one of said low-power type measurements. The method includes producing, using one of the high-power type measurements, an image depicting a person and detecting a presence of the person based on im-age analysis of the image. The method includes detecting, using at least one of the low-power type measurements, a maintained presence of the person. The method includes failing to detect a maintained presence of the person.