AI-Based Railway Track Crack Detection Using Raspberry Pi 5 & YOLO
High-speed autonomous edge-AI computer vision system that captures track footage in real-time and identifies surface fractures to prevent derailments.
Over 100+ innovative, tested final year project ideas with complete working hardware kits, verified microcontroller code, full project reports, and viva voce preparation.
Anna University & Autonomous Syllabus Compliant • Doorstep Delivery Available
Select from modern Embedded Systems, IoT, Edge AI, Power Electronics, and VLSI domains.
High-speed autonomous edge-AI computer vision system that captures track footage in real-time and identifies surface fractures to prevent derailments.
Multi-vital monitoring system tracking real-time body temperature, heart rate, and respiration rate with live cloud telemetry and doctor alerts.
Advanced multi-cell lithium battery monitoring with active cell balancing, thermal runaway protection, and real-time CAN bus telemetry.
Long-range wireless telemetry collecting soil moisture, environmental humidity, and solar battery status up to 3 km without cellular coverage.
High-efficiency digital closed-loop PID control of a 3-phase BLDC motor with Hall sensor feedback, smooth acceleration, and overcurrent protection.
Hardware-accelerated pipelined AES cipher implementation synthesized on Xilinx FPGA with full timing verification, RTL schematics, and testbenches.
Dual-current transformer sensing to detect line tapping and illegal bypassing, with automated billing calculation and GSM SMS notification.
Eye aspect ratio (EAR) and facial landmark tracking running on an embedded board to detect micro-sleep episodes and trigger audio alert signals.
Precise cable fault distance pinpointing in kilometers using resistor ladder voltage-drop calculation with live LCD readout and buzzer alerts.
Real-time monitoring of LPG, Carbon Monoxide, and Methane with automatic valve shutdown, emergency exhaust ventilation, and emergency SMS alerts.
High-gain dual-axis photovoltaic positioning using LDR light differential tracking with integrated Maximum Power Point Tracking (MPPT) circuit.
6-axis gyroscope and accelerometer tracking body impact acceleration and orientation, triggering instant GPS coordinates and SMS distress beacon.
No half-done circuits or missing documentation. You receive everything required to score top marks.
Pre-tested microcontrollers, calibrated sensors, power regulator board, and clean jumper connections ready for instant power-on demonstration.
Clean, modular, thoroughly commented C/C++, Python, or Verilog code with Keil, Arduino IDE, or Vivado project workspaces.
Format-compliant document with Abstract, Literature Survey, Block Diagram, Circuit Schematics, Component Datasheets, and Testing Results.
Ready-to-present PowerPoint presentation decks structured specifically for Review 0, Review 1, Review 2, and Final Viva evaluations.
High-resolution wiring schematics and simulation files (Proteus, Multisim, or MATLAB Simulink) to demonstrate theory clearly.
Direct coaching from experienced embedded software engineers explaining every single line of code and potential examiner questions.
From initial topic selection to final viva defense, we walk with you through every milestone.
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