Adapter – HVS Technologies https://www.hvstechnologies.in Hub for Versatile Science & Technologies Sat, 15 Aug 2026 12:25:08 +0000 en-US hourly 1 https://wordpress.org/?v=7.0.4 https://www.hvstechnologies.in/wp-content/uploads/2025/07/favicon-32x32-1.png Adapter – HVS Technologies https://www.hvstechnologies.in 32 32 HVS-2103. Portable Camera-Based Assistive Text And Product Label Reading From Hand-Held Objects For Blind Persons https://www.hvstechnologies.in/product/hvs-2103-portable-camera-based-assistive-text-and-product-label-reading-from-hand-held-objects-for-blind-persons/ https://www.hvstechnologies.in/product/hvs-2103-portable-camera-based-assistive-text-and-product-label-reading-from-hand-held-objects-for-blind-persons/#respond Sat, 15 Aug 2026 12:23:42 +0000 https://www.hvstechnologies.in/?post_type=product&p=28824 The project aims at designing a system for blind persons to recognize the hand held objects or products. In this project, we design and develop a system to find products or objects with voice announcements.

 

The portable system which captures the image of the object placed in front of the camera the presence of object was detected. These details were verified using Raspberry Pi processor for authentication. The Raspberry Pi processor system alerts the blind person through voice messages.

 

The device which is able to perform the task is a Raspberry Pi processor. When any object is placed in front of the Pi camera passes by the system, the image of the object is captured using camera. The image of the object details is fed as input to the Raspberry Pi processor. The Processor takes responsibility to check the object name details and announces for the blind person. To perform this task, Raspberry Pi processor is programmed using embedded ‘Linux’.

 

 

 

 

The objectives of the project are:

  1. Usage of image authentication technology.
  2. Capturing of objects using pi camera.
  3. Voice announcements using speaker.
  4. Text speech coverter.

 

 

The major building blocks of the project are:

 

  1. Power supply.
  2. Raspberry Pi processor.
  3. Pi Camera
  4. Speaker
  5. SD card.

 

 

 

 

Software’s used:

 

  1. Embedded Linux programming.
  2. Express SCH for Circuit design.

 

 

 

 

 

Block Diagram:

 

 

 

 

 

 

 

video:

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