Python
An Edge-Based Digital Twin Framework for Connected and Autonomous Vehicles: Design and Evaluation
Aim:
The aim of this project is to design and implement an edge-based digital twin system for monitoring and controlling the performance of a connected vehicle. Using sensors like the LM35 for engine temperature, IR sensors for speed measurement, and push buttons for speed control, the system optimizes real-time vehicle operations. It integrates the vehicle's real-time data into a digital twin for simulation, performance evaluation, and diagnostics. This approach enhances vehicle efficiency, safety, and real-time decision-making through continuous monitoring and control.
An IoT-Based Intelligent System for Real-Time Parking Monitoring and Automatic Billing
An IoT-based Sag Monitoring System for Overhead Transmission Lines
Application of IoT and Artificial Intelligence in Road Safety
Embedded, Artificial Intelligence(AI), Internet of Things(IoT), Artificial Intelligence, IoT, Machine Learning
Automatic Billing Trolley for an Enhanced Supermarket using RFID
Automatic Grass Cutting Robot Using Arduino And Ultrasonic Sensor
Automatic Grass Cutting Robot Using Arduino And Ultrasonic Sensor
Biobin For Safe Handling And Disposing Of Biomedical Waste During Covid ’19
