Vehicle Occupant Detection Using Facial Recognition and Motion Sensors
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Solution Overview
Problem
Existing vehicle occupied warning devices fail to effectively alert drivers about children left in the backseat, as they often rely on simplistic alarm systems that may not be reliable or user-friendly, particularly in detecting and confirming the presence of a child.
Innovation Solution
A vehicle occupant detection system comprising a housing with a microprocessor, camera, motion sensor, and sound emitter, utilizing facial recognition software to detect and confirm the presence of a child when the vehicle is parked, and escalating alerts through varying sound and light levels, along with communication to alert responders if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a simplistic alarm system is used, then the device complexity is reduced, but the reliability of detecting and confirming child presence deteriorates
Solution Approach 1:
The patent combines multiple detection technologies (motion sensors, facial recognition cameras, temperature sensors) into a single integrated warning device. This merging of detection methods enhances reliability by cross-validating child presence through multiple independent sensors, while the integrated design manages complexity through unified system architecture.
Solution Approach 2:
The system implements feedback mechanisms where sensors continuously monitor the vehicle interior and provide real-time data to the microprocessor. The facial recognition system provides visual confirmation feedback, and the escalating alarm system provides auditory feedback that increases in intensity based on detection confidence, thereby improving reliability without proportionally increasing complexity.
2Measurement precision
If facial recognition software is implemented, then the precision of detecting child presence is improved, but the device complexity increases
Solution Approach 1:
The patent introduces facial recognition software as an intermediary layer between the camera sensor and the alarm triggering mechanism. This software mediator processes captured images to confirm child presence with high precision before activating warnings, reducing false alarms while managing computational complexity through efficient image processing algorithms.
Solution Approach 2:
The system performs preliminary facial recognition analysis before triggering the alarm, capturing and analyzing images in advance to confirm child presence. This preliminary action allows the system to verify detection accuracy before committing to alarm activation, improving precision while spreading computational load over time.
3Ease of operation
If escalating alerts with varying sound and light levels are used, then the ease of operation is improved, but the use of energy increases
Solution Approach 1:
The patent implements dynamic alert escalation where sound volume and light intensity adjust based on detection confidence and time elapsed. The system starts with subtle warnings and escalates to louder alarms and brighter lights only if necessary, providing intuitive operation while optimizing energy consumption by avoiding maximum intensity continuously.
Solution Approach 2:
The system uses periodic alert cycles with intervals between warnings rather than continuous maximum intensity output. The escalating alerts operate in periodic phases (initial warning, escalated warning, final alarm) which improves user awareness through rhythm while significantly reducing overall energy consumption compared to continuous operation.
Data Source
AI summary
A vehicle occupant detection system includes a housing. A microprocessor is mounted in the housing and is programmed to detect an engine engagement status of a vehicle. A camera is mounted on the housing and is directed forward of the housing. The camera electrically coupled to the microprocessor is programmed with facial recognition software to compare facial images against images captured by the camera. A motion sensor mounted on the housing detects motion forward of the housing. The camera captures an image when the motion sensor detects motion. A first condition is defined when the motion sensor detects motion, the camera captures an image prompting a facial recognition match and the microprocessor detects the vehicle is parked. A sound emitter is mounted on the housing and is electrically coupled to the microprocessor and emit a low decibel sound when the first condition is first attained.