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SKU: FYP-AI-WASTE-01

IoT AI Waste Classification & Segregation FYP Kit

Complete Final Year Project kit featuring ESP32-CAM and real-time TensorFlow AI waste image classification with automated servo segregation bin.

Quick Summary & Specs

IoT AI Waste Classification & Segregation FYP Kit is an authentic, engineering-grade DIY project kit designed for prototyping, robotics, and academic research. Includes verified schematics, pre-tested hardware, and nationwide express shipping across Pakistan.

24-48h Dispatch Cash on Delivery 7-Day Replacement
Rs 21375.00 Rs 22500.00 -5% OFF

10 In Stock
Tested & Quality Guaranteed 100% Pre-Tested Hardware & Verified Working Code - Viva Defense Ready
Fast Local & Nationwide Shipping Same-Day Dispatch in Lahore | 2-3 Days COD to Karachi, Islamabad & All Pakistan.

Complete Edge AI & IoT Final Year Project Solution

The IoT & AI-Powered Waste Classification & Automated Segregation System is a comprehensive, turnkey engineering Final Year Project (FYP) designed to earn top grades in university viva defenses. Unlike generic software simulations, this system combines real-time deep learning computer vision on the edge with precision electromechanical actuation.

How the System Works:
When an item of trash is placed on the intake detection platform, an overhead ESP32-CAM optical module captures a high-resolution snapshot. The on-device neural network (trained on TensorFlow / TFLite) classifies the item in under 50 milliseconds into categories including Organic, Recyclable, Plastic, and Non-Recyclable. The microcontroller then actuates high-torque servo motor baffles to automatically tilt and drop the waste into its correct designated container.

What Makes This Project Viva-Proof?
• Real Hardware Actuation: Demonstrates real electromechanical integration rather than just a web dashboard.
• Edge Machine Learning: Uses quantized TensorFlow Lite models running on local hardware for zero-latency inferencing.
• Full Source Code & Training Dataset: Includes complete Arduino/C++ firmware, Python training scripts, and dataset with instructions for adding custom classes.
• Report-Ready Documentation: Complete block diagrams, circuit schematics, and project report structure ready for university submission.
• Direct technical guidance and viva defense support from ISOL engineering lab in Lahore.

What's Included in the Package:

  • 1x ESP32-CAM WiFi & Bluetooth Module with OV2640 Lens
  • 1x ESP32-CAM MB Micro-USB Shield & Programmer
  • 3x High-Torque TowerPro SG90 / MG90S Metal Gear Servos
  • 1x 3-Compartment Smart Segregator Dustbin Acrylic/Metallic Mechanism
  • 1x 5V 3A Regulated DC Power Supply Adapter
  • 1x Pre-Trained TensorFlow / TFLite Waste Classification Model (.tflite)
  • 1x Full Working Source Code (Arduino C++ & Python Training Pipeline)
  • 1x Complete Circuit Schematic & Viva Defense Presentation Guide

Quick Build & Interfacing Guide:

Step 1: Hardware Inspection

Unbox and verify all pre-tested sensors, microcontrollers, and wiring components included in your package.

Step 2: Chassis & Sensor Mount

Secure mechanical brackets, servos, and modules to the main frame using the provided mounting hardware.

Step 3: Pinout Wiring

Interface VCC, GND, and GPIO signal lines according to the verified schematic diagram provided with the kit.

Step 4: Code Upload & Testing

Upload the tested source code via Arduino IDE, Python, or ESP-IDF and verify live sensor readings and actuation.

Prototyping Kit Note: All DIY project kits come with complete verified code, connection diagrams, and 7-day technical replacement support across Pakistan.
Custom Prototyping & FYP Enclosures

Need a Custom 3D Printed Casing or Multilayer PCB?

Get custom snap-fit enclosures and robotics parts printed via our custom 3D printing service in Lahore & Pakistan, or order industrial double-sided circuit boards through our custom PCB fabrication service with nationwide delivery.

Key Features

Automated Automated multi-servo routing mechanism directs trash into correct partitioned bins
Direct Direct technical guidance and viva preparation support from ISOL engineering lab
Includes Includes complete circuit schematics, wiring pinout, and project report template
Pre-trained Pre-trained neural network model provided with full dataset and retraining scripts
Real-time Real-time offline and IoT cloud waste classification with <50ms inferencing latency

Specifications

AI Framework TensorFlow / TensorFlow Lite Micro
Actuation System 3x Servo-Driven Baffle Flaps
Classification Classes Organic, Recyclables, Plastics, Non-Recyclables
Development Platforms Arduino IDE, Python 3.10+, ESP-IDF
Microcontroller ESP32 Dual Core 240MHz with Wi-Fi & Bluetooth
Optical Sensor OV2640 2-Megapixel Camera Lens
Power Input 5V DC Regulated (3A Peak)

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