Vehicle Facial Recognition Activation with Range-Based Camera Control
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Solution Overview
Problem
Vehicles with facial recognition systems consume excessive energy when the camera is activated while the vehicle is off, leading to battery drain.
Innovation Solution
A vehicle system that activates a camera for facial recognition only when a person is detected in proximity using range sensors, sets camera parameters based on range data, and performs the facial recognition algorithm, thereby reducing energy consumption by keeping the camera off until needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the camera is activated continuously for facial recognition, then the system functionality is maintained, but energy consumption increases leading to battery drain
Solution Approach 1:
The camera is activated periodically only when needed based on proximity detection. The system uses range sensors to detect when a person approaches the vehicle, then activates the camera for facial recognition at that specific moment, rather than keeping it continuously on. This periodic activation based on triggering conditions resolves the contradiction between maintaining system functionality and reducing energy consumption.
2Use of energy by moving object
If the camera is kept off to save energy, then battery usage is efficient, but facial recognition cannot be performed when needed
Solution Approach 1:
The system performs preliminary detection using range sensors to identify when a person approaches the vehicle before activating the camera. This preliminary action ensures that the camera is activated in advance of when facial recognition is actually needed, guaranteeing that the system is ready to perform facial recognition whenever a person approaches, while still maintaining energy efficiency by keeping the camera off during periods when no one is nearby.
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
Reduces energy consumption by activating the camera and performing facial recognition only when necessary, ensuring efficient battery usage while maintaining system functionality.
Implementation Method 1
Radar sensors can use direct propagation, i.e., measuring time delays between transmission and reception of radio waves
Implementation Method 2
A lidar device detects distances to objects by emitting laser pulses at a particular wavelength and measuring the time of flight for the pulse to travel to the object and back
Implementation Method 3
Types of cameras include charge-coupled devices (CCD) and complementary metal oxide semiconductors (CMOS)
Data Source
AI summary
A computer includes a processor and a memory, and the memory stores instructions executable by the processor to receive range data from a range sensor of a vehicle, detect a person in proximity to the vehicle based on the range data, activate a camera of the vehicle upon detecting the person, set a parameter of one of the camera or a facial recognition algorithm based on the range data of the person, and perform the facial recognition algorithm on the person using data from the camera.