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# System prepended metadata

title: Hardware and Software for acquisition of images

---

# Hardware and Software for acquisition of images
This project consists in hardware and software for capturing images through a camera and a simple board and transfering these photos to a board with higher computational power for further operations. It is an initial step for a more advanced project of object recognition for application in projects such as robots or other devices. 
In this scenario, the project aims in developing the following knowledge/skills:

- Programming into boards with microcontroller
- Dealing with images in ESP32 and Raspberry Pi
- Board to board connection using wireless communication
 

#### Link to GitHub repository
[https://github.com/fabioschuh/image_capture](https://github.com/fabioschuh/image_capture)

#### Link to Final presentation - Open Hardware Academy template
[Final presentation](https://hackmd.io/@1ofnlq-eRfSNUs89Wv47FA/H1AMp2KS6)

## Detailing
A simple board with microcontroller with a camera captures images. The ESP32-WROVER Board is used for this function.
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<!-- ![](https://m.media-amazon.com/images/I/71AB2e-EhUL._AC_SX522_.jpg) -->
![](https://thumbs2.imgbox.com/67/ea/KditLKWZ_t.jpg)


The ESP32 board is connected to a more powerful board, the Raspberry Pi, that receives these images, process and store them. 
![](https://predictabledesigns.com/wp-content/uploads/2022/02/a-close-up-of-a-circuit-board-description-automat.jpeg)

The Raspberry Pi has a user interface display where an interface allows for controlling the ESP32 for image shooting, then displaying images captured.
![](https://thumbs2.imgbox.com/f1/02/Auattpev_t.jpg)


In the future the Raspberry Pi will perform object recognition tasks that can be integrated to functions of robots such as a robot car that navigates through a maze or a robotic arm that can identify location and position of specific objects in the real world.


## List of components
- [ESP32 with camera module](https://www.amazon.nl/-/en/dp/B09BC5CNHM?ref=ppx_yo2ov_dt_b_product_details&th=1)
- [Raspberry Pi](https://elektronicavoorjou.nl/product/raspberry-pi-4b-8gb-starter-kit-met-heatsink-case-fan/)
- Power supply
- Cooling for Raspberry Pi
- [Display for Raspberry Pi](https://elektronicavoorjou.nl/product/3-5-inch-480x320-tft-display-met-touch-screen/)
- [Case for Raspberry Pi + display](https://elektronicavoorjou.nl/product/raspberry-pi-4b-behuizing-voor-3-5-inch-touch-screen/)


## Benchmark documentation projects

[THOR: robotic arm -> HACKADAY.IO](https://hackaday.io/project/12989-thor)
[MOTUS - Open-Source 3D Printed Robotic Arm -> instructables.com](https://www.instructables.com/MOTUS-Open-Source-3D-Printed-Robotic-Arm/)
[Zortrax Robotic Arm -> instructables.com](https://www.instructables.com/Zortrax-Robotic-Arm/)
[Inexpensive SCARA arm (2D) w/ 28BYJ-48 steppers](https://www.thingiverse.com/thing:948061/files)
[DIY Robotic Arm Using 28byj-48 Stepper Motors and Arduino-Upcycled Material-Affordable](https://www.instructables.com/DIY-Robotic-Arm-Using-28byj-48-Stepper-Motors-and-/)
[Extremely Simple Robotic Arm | 28BYJ-48](https://www.thingiverse.com/thing:2214090/files)
[Robotic arm with 28BYJ-48 -> Github](https://github.com/alexkirsten/robotic_arm/tree/main)
[Collection of robotic arms](https://github.com/hobofan/collected-robotic-arms#robotic-arm-with-6-dof-by-ancastrog)

## Useful links - Similar/Related Projects

#### Raspberry Pi to ESP32 communication 
[How to Connect an ESP32 WiFi Microcontroller to a Raspberry Pi Using IoT MQTT](https://predictabledesigns.com/how-to-connect-esp32-microcontroller-to-raspberry-pi-using-iot-mqtt/) 


#### Object recognition
[Object Detection on Raspberry Pi - instructables.com](https://www.instructables.com/Object-Detection-on-Raspberry-Pi/)
[How to Perform Object Detection with TensorFlow Lite on Raspberry Pi](https://www.digikey.com/en/maker/projects/how-to-perform-object-detection-with-tensorflow-lite-on-raspberry-pi/b929e1519c7c43d5b2c6f89984883588)
[Getting started with image classification on Raspberry Pi - microsoft.github.io](https://microsoft.github.io/ELL/tutorials/Getting-started-with-image-classification-on-the-Raspberry-Pi/)
[Object and Animal Recognition With Raspberry Pi and OpenCV](https://core-electronics.com.au/guides/object-identify-raspberry-pi/)
[Image Recognition With TensorFlow on Raspberry Pi - instructables.com](https://www.instructables.com/Image-Recognition-With-TensorFlow-on-Raspberry-Pi/)

#### Link to the homework assignment with draft info
[Homework assignments OHA 2023 - Fabio](https://hackmd.io/-Yuc_kYkQAuplbK-iKOUHw)

## Project objectives - list of documents
- Project introduction, description and future steps
- Schematics illustrating boards and communication between them
- Assembly instructions
- Software for ESP32
- Software for Raspberry Pi
- Bill of Materials and links

## Value Proposition

### Moore’s original 6-step value proposition
**For** people looking for acquiring knowledge in hardware for capturing image, transfering, and processing it.  
**Who** is working to develop knowledge and skills in hardware development and programming
**The** image capture project 
**That** is a step in implementing the object recognition technology
**Unlike** solution that are ready for application and user friendly  
**Our product** provides the opportunity to learn how to build and program such a system

### The Value Proposition Canvas
![](https://thumbs2.imgbox.com/3d/e7/pS1daKWE_t.png)


### Value proposition based on the Canvas
#### Jobs
- Perform steps into image recognition
- Develop skills in mechatronics:
    - mechanic design
    - electronics
    - programming
    - AI
#### Pains
- Complexity and difficulties in development
- Time availability
#### Gains
- Sucessfully implement steps into object recognition tasks
- Skill development
#### Product features and specs (Products and services)
- Create basic knowledge in simpler tasks related to object recognition
#### Pain relievers
- Reduction of complexity by dividing the object recognition task in simpler steps
#### Gain creators
- Development of hardware skills
- Development of programming skills
- Step into object recognition technology


### Target specs and feature priority

|Priority| Features/ target specs|
|--------|-------|
|Must have|1. capability for image capturing and 2. communication to a powerful board|
|Should have|a display to verify and reproduce images captured |
|Could have| a nice external casing |
|Won't have| implementation of object recognition|