The aim of this project is to design a system having multiple features related to image processing-based shape detection using Robotic Arm etc. The main objective of the project will be achieved by establishing a system which acquires the image of the shape/object in training phase and then
4DOF SHAPE RECOGNITION USING VISION CONTROL
The aim of this project is to design a system having multiple features related to image processing-based shape
detection using Robotic Arm etc. The main objective of the project will be achieved by establishing a system which
acquires the image of the shape/object in training phase and then recognize shapes on the basis of that training.In the First phase at initial position the Arm will Recognize the Object using Image Processing and in the next phase it will pick it using Mathematical Techniques/Modelling.The camera will acquire images and then it will recognize the shapes automatically based on previous record. Robotic Arm will operate on 4 DOF and cameras mounted on it. At first these cameras will be used to detect the shapes in training phase and secondly it will be used to recognize the correct shape/object to be picked.
The main Objectives of this projects are to design a system that Recognize the object and picks it and place it.This includes building of Robotic Arm first,connection of Robotic Arm with Arduino.
Object Recognition is the other Objective in which we'll train the Robotic Arm using GPU to detect the Object and Recognize it using cameras,Image Processing Techniques are to be used in it.
The Implementation of this project is to be done by using Python,in which we'll design/develop an algorithm for Object Recognition.After that guidance and Navigation of Robotic Arm using Arduino will be done.Further,there will be the interfacing of Camera with Arduino and Robotic arm.
The Robotic arm was designed and built from material where servo motors were used to perform links between arms and execute arm movements.The design of the Robotic arm was limited to four degrees of freedom since, this design allows most of the necessary movements and keeps the costs and the complexity of the robot competitively.
After that using Mathematical modelling the Robotic Arm will move from the zero coordinates to the final coordinates and camera will acquire the image and will recognize the objects to be picked.
In the whole process different Image Processing Algorithmand Techniques were used and Object Recognition algorithm are to be developed using Python Language.
The benefits of the projects are in various fields for example for industrial purposes the fact that arms can be automated
gives the productivity of an endless amount of workers that
never get tired, never get bored, and need very little
supervision. In the future, they may be able to even make
replicas of themselves. They create consistency in
production. They are accurate and precise.
Not only that, robots do the job the same way every time, helping manufacturers increase production output and improve product quality and consistency. Also It reduced the work load on workers and also help the manufacturers in financial way like it reduced the number of labour.
Similarly some more application in other fields are :
The Technical Final Deliverable of the project are:
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Robotic Arm | Equipment | 1 | 10000 | 10000 |
| GPU(Nvidia M2000/K2200/Any Equivalent) | Equipment | 1 | 24000 | 24000 |
| Motors for Robotic Arm | Equipment | 5 | 600 | 3000 |
| Jaw For Robotic Arm | Equipment | 1 | 1500 | 1500 |
| Stand for Robotic Arm | Equipment | 1 | 2500 | 2500 |
| Sensors | Equipment | 5 | 700 | 3500 |
| Camera | Equipment | 2 | 3000 | 6000 |
| Arduino | Equipment | 2 | 1000 | 2000 |
| Bread Board | Equipment | 2 | 400 | 800 |
| Stationary | Miscellaneous | 10 | 250 | 2500 |
| Others | Miscellaneous | 1 | 4500 | 4500 |
| Total in (Rs) | 60300 |
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