Intelligent auxiliary device and method for travelling of blind people
An assistive device, a technology for the blind, applied in the direction of equipment to help people walk, physical therapy, etc., can solve the problems of blind people's social barriers, travel safety, single function, etc. The effect of learning cost
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specific Embodiment 1
[0089] The working process of the identification module is:
[0090] (1) The visual sensor in the recognition module acquires RGB images and performs preprocessing:
[0091] a. Receive the call instruction from the information processing module, and call the visual sensor to obtain the RGB image;
[0092] b. Image preprocessing (denoising, contrast enhancement, etc.) is performed on the acquired image, and the processed RGB image is output;
[0093] (2) Identify the processed RGB image:
[0094] a. Use the processed RGB image for traffic sign recognition (including blind roads, traffic lights, zebra crossings, etc.), and the recognition method uses an object recognition algorithm based on deep learning;
[0095] b. Use the processed RGB image for face key point detection to detect the face appearing in the image:
[0096] Authenticate the detected face;
[0097] Perform face attribute recognition (gender, age, expression, etc.) on the detected face;
[0098] (3) Output tr...
specific Embodiment 2
[0099] The working process of the voice module is as follows:
[0100] 1. When the user issues a voice command:
[0101] (1) Utilize the voice receiver (microphone) to receive the voice signal from the user (including starting point and end point information);
[0102] (2) Preprocessing the received voice signal;
[0103] (3) Spectrum analysis is carried out to the speech signal after processing, and feature is extracted frame by frame;
[0104] (4) Perform similarity matching between the extracted feature and the speech feature in the module library to obtain the corresponding text;
[0105] (5) Perform semantic analysis on the text obtained in the previous step, and extract key information (starting point, end point).
[0106] 2. When receiving the text (face recognition result, obstacle information, navigation information) from the information processing module:
[0107] (1) Perform semantic analysis on the text content to generate text that conforms to language habits;...
specific Embodiment 3
[0110] The obstacle detection module includes sensors arranged at the user's waist, and the sensors include at least two groups, each group of sensors includes a ground obstacle detection sensor, a suspended obstacle detection sensor and a ground obstacle detection sensor in front of the user.
[0111] In this embodiment, the obstacle detection module is provided with 3 groups of sensors, which are respectively arranged on the left side, the middle side, and the right side of the user's waist. Since the average torso width of the user is W, the distance between each group of sensors is
[0112] Each group of sensors includes low ground obstacle detection sensor, suspended obstacle detection sensor and high ground obstacle detection sensor; the sensor model adopts HC-SR04 ultrasonic sensor, the sensing angle is not more than 15 degrees, and the detection distance is 2cm-450cm , the precision is 0.3cm, the voltage is DC5V;
[0113] Since the ratio of the upper and lower body o...
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