Capacitive Seat Occupant Detection for Child and Animal Alerts
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Solution Overview
Problem
Current occupant detection systems in vehicles are primarily reserved for air-bag deployment and lack a comprehensive solution for determining the presence of occupants, including children or animals, and providing safety alerts and adaptive vehicle functions based on occupancy.
Innovation Solution
A system comprising capacitive sensing sensors embedded in seat cushions and backs, combined with a touch-sensitive user interface and an AI-controlled system that processes signals to determine occupancy, alert operators of unattended occupants, and adjust vehicle settings for safety and comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If capacitive sensing sensors are embedded in seat cushions and backs to detect occupants, then occupancy detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensing functions into a single integrated system. Capacitive sensors embedded in seat cushions and backs are merged with the touch-sensitive user interface and controller, allowing the same hardware infrastructure to serve both occupancy detection and user interaction functions. This merging reduces the need for separate dedicated components while maintaining high detection accuracy.
Solution Approach 2:
The capacitive sensing system serves multiple purposes: it detects occupancy status, identifies whether the occupant is a child or adult, monitors seat belt usage, and provides touch-sensitive user interface functionality. This multi-functionality allows a single system to replace what would traditionally require multiple separate systems, reducing overall device complexity while improving measurement precision through sensor fusion.
2Reliability
If an AI-controlled system processes sensor signals to determine occupancy and provide safety alerts, then safety and comfort functions are improved, but computing resources and energy consumption increase
Solution Approach 1:
The system performs preliminary processing of sensor signals by the controller before AI analysis, filtering and pre-processing data to identify relevant occupancy patterns. This preliminary action reduces the computational burden on the AI system by eliminating obvious non-occupancy signals early in the processing chain, thereby reducing energy consumption while maintaining safety reliability.
Solution Approach 2:
The AI system processes sensor data at different levels of detail based on conditions. For routine occupancy detection, partial processing is sufficient, consuming less energy. For critical safety situations or when detailed occupant characterization is needed, the system applies full AI analysis. This selective processing approach optimizes energy consumption while ensuring safety functions remain reliable.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Accurately detects occupants, including children and animals, and provides warnings and adaptive vehicle functions to ensure safety and comfort, such as ventilation and alerting operators of unattended individuals, thereby enhancing safety and energy efficiency.
Implementation Method 1
capacitive sensing sensors embedded into a cushion and/or back of seats in a vehicle
Data Source
AI summary
An occupant detection system and method may include a user interface and at least one sensor to determine if there is an occupant in the vehicle. In one embodiment, the system and method use capacitive sensing sensors embedded into a cushion and/or back of seats in a vehicle. The capacitive sensor sends a sense signal to a controller and the controller would recognize various conditions such as an empty seat or a seat occupied by a person or animal. It could also determine if there was a child seat in a position on a vehicle seat and if there is a child in the child seat.