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HVS-3606. Echo Vision - Raspberry based object detection and classification
HVS-3606. Echo Vision - Raspberry based object detection and classification
HVS-3606. Echo Vision - Raspberry based object detection and classification
HVS-3606. Echo Vision - Raspberry based object detection and classification
HVS-3606. Echo Vision - Raspberry based object detection and classification

HVS-3606. Echo Vision - Raspberry based object detection and classification

₹14,500.00

The main aim of the project “Echo Vision” is to enhance the mobility and spatial awareness of visually impaired individuals, enabling them to navigate their surroundings safely and independently.

Echo Vision is a novel assistive device designed to enhance the mobility and spatial awareness of visually impaired individuals. The system integrates Raspberry Pi 3, a Pi Camera, an SD card, a rechargeable battery, an ultrasonic sensor, a headset, and LED indicators into a traditional blind stick. The main controlling system is in this project is raspberry pi 3.

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The main aim of the project "Echo Vision" is to enhance the mobility and spatial awareness of visually impaired individuals, enabling them to navigate their surroundings safely and independently. Echo Vision is a novel assistive device designed to enhance the mobility and spatial awareness of visually impaired individuals. The system integrates Raspberry Pi 3, a Pi Camera, an SD card, a rechargeable battery, an ultrasonic sensor, a headset, and LED indicators into a traditional blind stick. The main controlling system is in this project is raspberry pi 3. When the user switch on the device Pi Camera captures real-time images of the surroundings, which are processed by the Raspberry Pi 3 using Open CV algorithms. The processed images are then converted into audio feedback, providing the user with auditory information about the environment. The ultrasonic sensor further enhances the system by detecting obstacles in close proximity and alerting the user through the headset. The buzzer serves as an auditory alert system, providing feedback to the user about obstacles detected by the ultrasonic sensor or other critical information. LED indicators provide additional visual cues for the user. The device aims to empower visually impaired individuals by providing them with a comprehensive understanding of their surroundings, allowing for safer and more independent navigation.

 

The major features of this project are:
  1. Automatic obstacle sensing.
  2. Automatic object detection and classification.
  3. Using Raspberrypi3 processor to achieve this task.
  4. Using pi camera and openCV Image processing to detect the objects
  5. Using Ultrasonic sensor to detect the obstacle.
  6. Voice alerts for obstacle detection.
  7. Voice announces for object detection.
  8. Using headsets for audible announcements.
  9. Led for additional visuals for user.
  The major building blocks of this project:  
  • Battery power supply.
  • Raspberry Pi3 Processor.
  • SD Card.
  • Ultrasonic sensor.
  • Pi camera.
  • LED indicators.
  • Head set.
  • Buzzer.
        Software’s used in the project:  
  1. Python Programming.
  2. OpenCV Image processing.
  3. Embedded Linux operating system.
  4. Express SCH for Circuit design.
    video:  

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