Vehicle Access Control via Gesture and Sensor Fusion
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Solution Overview
Problem
Current smartphone applications for vehicle access lack contextual intelligence, limiting the types of features and services that can be provided when a user approaches a vehicle.
Innovation Solution
A system that receives a message when a mobile device is in proximity to a vehicle, uses sensors on the vehicle to detect gestures or commands, and processes this information to implement actions such as unlocking doors or adjusting settings based on predefined rules or learned preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If smartphone applications are used to unlock a vehicle based on proximity, then the basic access function is achieved, but contextual intelligence and advanced features are limited
Solution Approach 1:
The system segments the vehicle access control into multiple independent sensing modalities (camera for gesture recognition, microphone for voice commands, proximity sensors). Each sensor captures a different aspect of user intent, and the system processes these segmented inputs separately before integrating them to make comprehensive access decisions, thereby overcoming the limitation of single-function smartphone apps.
Solution Approach 2:
The vehicle's sensor system is designed to perform multiple functions beyond basic access control. The same camera and microphone array used for security also enable gesture recognition, voice commands, and contextual awareness. This multi-functional approach allows the system to provide both secure access and advanced features like personalized settings adjustment, eliminating the need for separate specialized systems.
2Loss of information
If sensors are activated to detect gestures and commands, then contextual intelligence is improved, but device complexity increases
Solution Approach 1:
The sensor system operates autonomously without requiring direct user interaction or complex external processing. The onboard processors automatically detect gestures, recognize voice commands, and determine user intent using pre-programmed algorithms. The system serves itself by continuously monitoring sensor inputs and making real-time decisions about access control and feature activation, reducing the need for complex external control systems.
Solution Approach 2:
The system introduces an intermediary processing layer that translates complex sensor data into simple actionable commands. Rather than directly processing raw camera and microphone signals, the system uses intermediate gesture recognition algorithms and voice processing modules that convert physical gestures and audio signals into standardized control commands. This intermediary layer simplifies the overall system architecture by decoupling sensor complexity from control logic.
3Measurement precision
If multiple sensors are used to detect user actions, then measurement precision is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The system merges data from multiple sensors (camera, microphone, proximity sensors) into a unified gesture and command detection process. Rather than processing each sensor independently, the system combines their inputs to form a comprehensive view of user intent. For example, a gesture is recognized by combining visual data from the camera with spatial information from proximity sensors, improving detection accuracy while using integrated processing to manage complexity.
Data Source
AI summary
A message is received that a mobile device is in proximity to a vehicle. For example, a cloud system may receive a message that the mobile device is in proximity to the car of a specific person. Based on the mobile device being in proximity to the vehicle, sensor information is received from one or more sensors on the vehicle. For example, an array of cameras on the vehicle may be used to detect a gesture. The received information from the one or more sensors on the vehicle is processed to identify one or more actions to implement on the vehicle. One or more commands are then sent to implement one or more actions on the vehicle. For example, the one or more commands may be to open a specific door on the vehicle and to turn on a specific heating system in the vehicle.