AI Guidance Cane for Real-Time Obstacle and Face Recognition
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Solution Overview
Problem
Existing visually impaired canes lack an effective guidance system that provides real-time surroundings information and facial recognition for improved mobility and interaction with familiar individuals.
Innovation Solution
A visually impaired cane equipped with a 1-inch by 1-inch artificial intelligence camera that relays real-time surroundings information and can be programmed for facial recognition, using recycled materials like plastics or carbon fiber, with a wired or unwired earpiece for silent alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a traditional visually impaired cane is used, then the device is simple and easy to manufacture, but it lacks real-time environmental awareness and facial recognition capabilities
Solution Approach 1:
The patent combines multiple functions (environmental scanning, facial recognition, obstacle detection, and haptic feedback) into a single integrated cane system. The camera module, processing unit, and feedback mechanism are merged into one device, allowing the cane to perform diverse functions including real-time environmental awareness and recognition of familiar faces while maintaining a unified structural design.
Solution Approach 2:
The cane is designed as a multi-functional device that not only provides traditional physical guidance but also incorporates digital capabilities for environmental mapping, facial recognition, and obstacle detection. This universal design allows the same device to serve both traditional mobility assistance and advanced technological functions for visually impaired users.
2Loss of information
If AI camera and processing systems are added to the cane, then facial recognition and real-time information are provided, but the device complexity and manufacturing difficulty increase
Solution Approach 1:
The system is divided into distinct functional modules: a camera module for capturing images, a processing unit for AI-based facial recognition and environmental analysis, and a feedback mechanism for delivering information to the user. This segmentation allows each component to be optimized independently and assembled into a cohesive system, reducing overall manufacturing complexity while maintaining advanced functionality.
Solution Approach 2:
The patent introduces an intermediary processing unit that bridges the camera input and the user feedback system. This mediator processes complex AI tasks such as facial recognition and environmental mapping, then translates the results into simple haptic or auditory signals for the user, effectively decoupling the complexity of AI processing from the simplicity of user interaction.
3Area of moving object
If a 1-inch by 1-inch AI camera is used, then the device size is minimized, but the processing power and recognition accuracy may be limited
Solution Approach 1:
The system compensates for the small camera size by utilizing temporal dimension through continuous video streaming and frame-by-frame analysis. Instead of relying solely on the spatial resolution of a small camera, the AI processing unit analyzes sequences of frames over time, allowing for accurate facial recognition and environmental mapping even with a compact 1-inch by 1-inch sensor.
Data Source
AI summary
A visually impaired person uses a guidance cane on a daily basis to judge the distance between objects or people in an effort to avoid contact or deter from bodily harm. With the usage of artificial intelligence by and through a 1 inch by 1 inch camera located on the front of the guidance cane the visually impaired person now can be informed in real time of objects of persons within their path to more effectively avoid contact and deter from bodily harm. The information gathered from the 1 inch by 1 inch camera is relayed in real time to the visually impaired person either through a wired connection or a wireless connection.