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AI-Powered Robotic Arm for Object Detection and Pick-and-Place Operation
Components:
Hardware Components:
1. Robotic Arm
Servo-based robotic arm (4/5/6 DOF) or
Stepper-motor robotic arm with stronger torque
End-effector (gripper):
2-finger parallel gripper
Vacuum gripper (for flat/light objects)
Soft robotic gripper (for delicate objects)
2. Motors & Actuators
High-torque servo motors (e.g., MG996R, Dynamixel series)
Stepper motors + drivers (e.g., NEMA17 + A4988/TMC2208)
Motor encoders for precise joint feedback (optional but recommended)
3. Controllers
Microcontroller (for movement control):
Arduino Mega / Uno
ESP32 (for wireless + faster control)
STM32 (for high-precision control)
Single-Board Computer (for AI processing):
Raspberry Pi 4 / 5
NVIDIA Jetson Nano / Xavier NX (best for real-time object detection)
Intel NUC (for heavier models)
4. Vision System
Camera Module:
USB webcam
Raspberry Pi Camera v3
Intel RealSense depth camera (for 3D perception)
Lighting:
LED ring or area lighting for stable detection
5. Sensors
Distance sensor (IR, ultrasonic) – to avoid collision
Force/torque sensor (optional) – for safe gripping
IMU sensor (optional) – if movement monitoring needed
6. Power Supply
5V / 9V / 12V power supply depending on motors
Motor driver power channel isolated from logic power
7. Mechanical Structure
Aluminum/ac
Project Description:
Industrial automation is rapidly evolving with the integration of AI, robotics, and computer vision. This project demonstrates a compact, intelligent system that mimics industrial sorting by using a camera for object detection and a servo-controlled robotic arm for pick-and-place actions. It aims to simplify sorting tasks in warehouses, small-scale manufacturing, or educational labs. The integration of OpenCV for image recognition and a 3D-printed robotic mechanism makes it cost-effective, scalable, and easy to implement in various real-world scenarios.Manual sorting and object handling in industries or labs can be time-consuming, error-prone, and inefficient. There is a need for a smart and automated system that can visually detect objects and physically sort them without human intervention. Existing robotic systems are often expensive or complex. Hence, this project aims to create an affordable, small-scale intelligent robotic solution using image processing and basic servo mechanics.
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