Fig.1 Conceptual design of project: images/Smart AI based fruit picking robot _1639950380.jpg?dl=0 Success
Smart AI based fruit picking robot
Fig.1 Conceptual design of project:
images/Smart AI based fruit picking robot _1639950380.jpg?dl=0
Success in creating AI would be the biggest event in human history, we stand on a brink of a technological revolution that will fundamentally alter the way we live, work, etc. We are living in an agricultural country and examine fruit cutting as one of the biggest problems during COVID-19 for the agriculture industry. In this project, we are implementing artificial intelligence with robotics to solve agricultural problems and we are merging AI with robotics, two phenomena to build a robotic arm that has the expertise and operate effectively in 6 degrees of freedoms after identifying the desired fruit the end effector will gently pluck it if it is ready, and keep in the container attached to the base (vehicle) the system. the system can sustain up to 5kg fruits without having any effect on its performance hence the whole project can replace a being and can be more efficient. For this purpose, we are using the camera which will be placed on a robotic arm, camera will first detect the fruit and recognized is it ready to pick or not, if it's ready to pick then will cut it and put it into the basket, then will keep on searching of another subject. Once the search is completed which means there are no more fruits are left then our robot will return to its initial location.
After detecting fruit that is ready to pick, the camera will find out the distance between the robot and the fruit that is to be cut, will minimize the distance between robotic arm and fruit through obstacles avoiding robot, and detects the desired subject to proceed further operations first our robot will wander in the field searching for the subject and when the subject comes into sight It will reach there to pluck it. The project will need just starting power then it will use solar energy through solar panel (placed on obstacle avoiding robot) for its operations.

Fig.2 Objectives:
images/Smart AI based fruit picking robot _1639950383.jpg?dl=0


Fig.3 Flow diagram:
https://www.dropbox.com/s/bsqyrk4xj8sk3m2/flow diagram.jpg?dl=0
This project is divided into five main phases.
1). Detection and Recognition of fruit.
The first phase is the collection of images of fruits then detection and recognition of the fruit using Microcontroller (Raspberry Pi 4 Model B 2GB RAM) and Camera (5MP Raspberry Pi Camera Module v1.3) using OpenCV.
2). 3D Modelling of Robotic Arm, 3D Printing:
3D Model of a robotic arm with solid Works (3D Modelling Software), then will render or print from then shops or marketplaces.
3). Interfacing microcontroller and camera with robotic arm:
In the third step of smart AI-based picking, a robot will implement our data with a robotic arm and find out results for acquiring more and more accurate epochs method of machine learning (It's a term of machine learning, indicates several passes of the entire training dataset the machine learning algorithm has completed).
4). Design and Construction of Obstacle Avoiding Robot:
Design and implementation of an autonomous obstacle-avoiding robot using ultrasonic wave sensor. Four drive tires are driven by four DC motors. Using raspberry pi as a control core for the whole project.
5). Power-efficient / effective:
Energy consumption is one of the main problems therefore smart AI-based fruit picking robot will generate their power for their operations through solar panels, just smarting power is needed.

Fig.4 Project benefits:
images/Smart AI based fruit picking robot _1639950390.jpg?dl=0

In this project we are implementing AI for fruit picking purpose, is used for agricultural purpose and the main area of application of smart fruit-picking robots in agriculture today is at the picking stage.
In this project, we apply automation to agriculture to help create several advancements in the industry. While helping the farmers to save money and time. Even in developing countries, the farmers are interested in using robots to tend the field of crops, pick the fruit.
Smart AI-based Fruit Picking Robots don't get sick or tired and they do not need the time off.
The smart fruit-picking robots in horticultural applications for fresh fruit manipulation have fulfilled special requirements such as high-speed activation, high reliability, low weight, be approved for contact with foodstuffs, low energy consumption, etc.
For fruit picking robots, the direct contact type strategy using the efficient arm, as there is less damage to fruit.

Fig.5 Workflow
images/Smart AI based fruit picking robot _1639950394.jpg?dl=0
The prototype smart ai based fruit picking robot will be delivered along with its technical detailed report, final product is a smart robot having robotic arm which used to pick up the fruits. The robot embedded with Solar panel for external power supply, Raspberry pi for central processing unit, ultrasonic sensor for obstacle avoidance, weighing sensor to measure the weight, Raspberry pi camera module for capturing real time camera feed of environment. Implementation of Image Processing is done by using OpenCV which is python open source library for camera vision. First robot is move in field after that it detect the fruit, when detection is complete with the help of robotic arm the fruit is to be pick and store in basket and if any obstacle occur in robot path, the ultrasonic sensor makes the robot obstacle avoidance, these all components collectively makes robot fully smart.The prototype smart ai based fruit picking robot will be delivered along with its technical detailed report, final product is a smart robot having a robotic arm which used to pick up the fruits. The robot is embedded with a Solar panel for external power supply, Raspberry pi for central processing unit, an ultrasonic sensor for obstacle avoidance, a weighing sensor to measure the weight, Raspberry pi camera module for capturing real-time camera feed of the environment. Implementation of Image Processing is done by using OpenCV which is a python open-source library for camera vision. The first robot is move in a field after that it detects the fruit when detection is complete with the help of a robotic arm the fruit is to be picked and stored in a basket and if any obstacle occurs in the robot path, the ultrasonic sensor makes the robot obstacle avoidance, these all components collectively makes robot fully smart.

| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry pi 4 Model B 2Gb RAM 1.5GHz | Equipment | 1 | 10500 | 10500 |
| Pi camera model v1.3 | Equipment | 2 | 800 | 1600 |
| Robotic arm | Equipment | 1 | 20000 | 20000 |
| HC-SR04 Ultrasonic Sensor Module | Equipment | 4 | 175 | 700 |
| Servo motor MG996R | Equipment | 6 | 750 | 4500 |
| Dc motor (24v / 2A) | Equipment | 4 | 1500 | 6000 |
| Battery (12v / 100A) | Equipment | 1 | 7000 | 7000 |
| Basket | Equipment | 1 | 500 | 500 |
| Weight sensor | Equipment | 1 | 650 | 650 |
| Solar panel (Poly crystalline high performance) | Equipment | 6 | 2000 | 12000 |
| Wiring | Equipment | 50 | 10 | 500 |
| Other Expenditure | Miscellaneous | 1 | 3000 | 3000 |
| Four Wheel Robot Chassis Kit | Miscellaneous | 1 | 7000 | 7000 |
| Total in (Rs) | 73950 |
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