Camera-Based AI Gesture Detection Without Added Sensors
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Solution Overview
Problem
Current electronic devices for detecting gesture interactions, such as those between infants and interaction objects, require additional electronic sensors that increase development costs, complexity, and pose safety hazards due to potential ingestion by infants.
Innovation Solution
An electronic device uses artificial intelligence to detect gestures by analyzing real-time images through a camera, determining stable user and object frames, and generating operation instructions based on detected movements, eliminating the need for additional sensors and accessories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional electronic sensors are used to achieve accurate gesture detection, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces physical electronic sensors with an optical system consisting of a camera and AI processing algorithm. The camera captures images that are processed through neural network models to detect gestures, substituting mechanical/electronic sensing components with an optical-computational approach that achieves accurate gesture recognition without adding sensor complexity
Solution Approach 2:
The system creates a digital copy of the physical gesture through image capture and processing. Instead of directly sensing physical movements with sensors, the patent captures visual information through a camera and generates digital representations of gestures that are then analyzed by AI algorithms, achieving accurate detection through information copying rather than direct physical sensing
2Measurement precision
If additional electronic sensors and accessories are added to the interaction object, then measurement precision is improved, but manufacturing cost increases
Solution Approach 1:
The patent eliminates the need for expensive electronic sensors and accessories by replacing them with a camera-based optical system and AI processing. This substitution significantly reduces development and manufacturing costs while maintaining accurate gesture detection capabilities through software-based recognition algorithms
Solution Approach 2:
The interaction object becomes simpler and safer by removing expensive electronic components. The patent enables the use of basic, inexpensive objects that can be safely interacted with by infants, replacing costly sensor-equipped accessories with a system that uses only a camera and processing unit
3Measurement precision
If additional electronic accessories are placed on the interaction object, then measurement precision is improved, but object-generated harmful factors increase
Solution Approach 1:
The patent replaces physical electronic accessories that could be ingested with an electronic system that remains stationary or remote. The camera and processing unit detect gestures without requiring electronic components to be attached to or placed on the interaction object, eliminating ingestion hazards while maintaining detection accuracy through optical sensing
Solution Approach 2:
The patent extracts and removes the harmful electronic components from the interaction object. By separating the detection system from the interaction object itself, the patent eliminates the risk of infants ingesting electronic parts while preserving gesture detection functionality through remote or fixed camera-based sensing
Data Source
AI summary
A method of applying artificial intelligence to detect gestures. The method includes: taking a photograph to obtain a real-time image output; performing artificial intelligence recognition on the real-time image output to obtain a frame of an object to be tested and a frame of a user to be tested; determining whether the frame of the user to be tested is in a position stable state and whether the frame of the object to be tested is in a stable presence state; when the judgement results are yes, recognizing by the artificial intelligence that the user to be tested holds the object to be tested, and recognizing by the artificial intelligence the real-time image output and detecting a movement of the object to be tested, so as to generate a movement change to trigger and generate an operation instruction; performing a corresponding media processing operation according to the operation instruction.