AI Bidirectional Camera for Driver and Road Hazard Recognition
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Solution Overview
Problem
Existing mobile driver assistance devices lack a compact and portable solution that can easily be installed on various transportation vehicles to recognize forward conditions such as collision risks, track changes, and obstacles, while also monitoring driver behavior.
Innovation Solution
A mobile driver assistance device equipped with an AI bidirectional camera system, comprising a front camera to capture the driver and a rear camera to capture the vehicle's travel direction, along with a processor and alarm unit, to provide real-time alerts to the driver based on recognized conditions and behaviors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a mobile driver assistance device is designed to be compact and portable for easy installation on various transportation vehicles, then ease of installation and adaptability are improved, but the device may lack the capability to effectively recognize forward conditions such as collision risks, track changes, and obstacles
Solution Approach 1:
The patent combines multiple camera functions into a single bidirectional camera unit. The front camera captures driver images, while the rear camera captures forward road conditions, merging what would traditionally require separate monitoring systems into one integrated device that maintains comprehensive functionality while improving portability and ease of installation
Solution Approach 2:
The bidirectional camera system provides multi-functionality by simultaneously performing driver behavior monitoring and forward road condition recognition. This universal approach allows one compact device to serve multiple safety functions that would otherwise require separate systems, thereby improving ease of installation without sacrificing recognition capability
2Measurement precision
If the device uses AI model processing to determine driver behavior and road conditions, then measurement precision and reliability are improved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary processing approach where the processor acts as a mediator between the captured images and the AI model. The processor receives images from both cameras, performs preliminary processing, and then applies the AI model to determine driver behavior and road conditions. This intermediary structure manages complexity by organizing the processing flow while maintaining high measurement precision through AI analysis
Data Source
AI summary
A mobile driver assistance device with an AI bidirectional camera is provided. The mobile driver assistance device includes a body part, a front camera installed such that an image capturing lens is exposed to the front of the body part, to capture a driver, a rear camera installed such that an image capturing lens is exposed to the rear of the body part, to capture a traveling direction of the vehicle, a processor installed inside the body part and configured to determine, by using an AI model, a behavior of the driver and a condition of a road or a track in front of the vehicle based on images transmitted from the front camera and the rear camera, a memory installed inside the body part and storing the AI model, and an alarm unit configured to provide an alarm to the driver according to the determination of the AI model.