Colour Detection and Shorting using AI and Deep Learning Electronics engineering final year project

Colour objects moving on conveyor belt and top of this camera attached. Camera will identify the colour and servo motor separates object based on colour.   ESP32 camera has CNN machine learning algorithm and it can detect corresponding colour. Simultaneously, controller will calculate objects count and upload colour information to IOT server.

TECHNICAL SPECIFICATIONS:

HARDWARE:

Microcontroller          :           ESP32

Crystal                        :           16 MHz

LCD                            :           16×2 LCD display

Buzzer                         :           5V DC

Servo Motor               :           MG996R

DC gear Motor           :           3.5 rpm DC 12V

Camera                       :           ESP32 camera

Power Source              :           12v 1 amp DC adaptor

SOFTWARE:

Arduino IDE

Proteus based circuit diagram

APPLICATIONS:

• Color based object sorting
• Deep learning algorithms for object sorting
• Inventory management with deep learning
• Artificial intelligence in object sorting
• Convolution neural networks for object sorting

INTERFACES COVERD:

• We have covered ESP32 controller programming and interface
• Servo motors and ESP32 camera interfaces
• Conveyor belt mechanism implementation