The main aim of this project is to design a teeth distance measurement system between upper and lower JAW without any contact using Raspberry pi and pi camera. This system will display the distance on LCD module to detect the teeth distance between upper and lower JAW using OpenCV image processing technology. The Raspberry Pi is a credit-card-sized single-board computer developed in the UK by the Raspberry Pi Foundation. The Raspberry Pi has a Broadcom BCM2835 system on a chip (SoC), which includes an ARM1176JZF-S 700 MHz processor, Video Core IV GPU, and was originally shipped with 256 megabytes of RAM, later upgraded to 512 MB. It does not include a built-in hard disk or solid-state drive, but uses an SD card for booting and long-term storage. OpenCV is a cross-platform library using which we can develop real-time computer vision applications. It mainly focuses on image processing, video capture and analysis including features like face detection and object detection. Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse.

 

This project provides us with the learning’s on the following aspects:

1. Power supply.
2. Pi Camera
3. Raspberry Pi.
4. LCD display.

Software’s used:

• Linux OS.
• Python programming.
• Image processing technology.

   

   

Regulated Power Supply:    

     

Block diagram:    

   

 

video: