Thermal Runaway
The Battery Safety Monitoring System is an AI-powered solution integrated into a car to detect thermal runaway in lithium-ion batteries. Using a chassis, wheels, motors, AMG8833 thermal camera, analog voltage sensor, cooling fan, and buzzer, it continuously monitors battery temperature and voltage in Pictoblox, providing early warnings, alerts, and automatic cooling activation to ensure safety and sustainability.
Fort Cleaner
“Designed in Pictoblox, this smart garbage bot detects and collects waste using sensors and a robotic arm, minimizing human effort in hazardous areas. With tracks and motion control, it navigates rough terrains like slopes and rocky surfaces. Operating manually or autonomously, it ensures efficient waste management, preserving both the environment and the historical significance of heritage sites while maintaining cleanliness and sustainability.”
Intelligent Cooling System
The project aims to develop an intelligent cooling system for industry to overcome the overheating issues by automatically managing cooling fans based on real-time temperature measurements. It uses temperature sensors like LM35 or DHT22 and controls the DC fan ,automatically through a motor driver to prevent overheating, ensuring efficient cooling. Also it triggers a led and sound alert to notify workers about the rising temperature so that they can take preventive measures, and this is how our project works.
A.D.E.A.S Accident Detection & Emergency Alert System
he Accident Detection & Emergency Alert System uses sensors to detect accidents and send emergency alerts, featuring real-time monitoring and location tracking.
Our Accident Detection System utilizes an MPU6050 accelerometer & gyroscope and an SW-420 vibration sensor to detect high-impact collisions. The Arduino processes the data, triggering a buzzer and displaying alerts on an LCD 16×2 module for immediate emergency response.
Bridge Load Detection
The Load Detection Bridge System is an innovative solution designed to enhance bridge safety by automatically monitoring vehicle load in real time. Built using Arduino, IR sensors, an FSR (Force Sensitive Resistor), servo motors, traffic lights, and an LCD display, the system detects vehicles entering the bridge and measures their weight. If the load exceeds a predefined safe limit, the system takes corrective action by lowering a barrier using a servo motor, turning on a red traffic light, and displaying a warning message on the LCD. If the load is within the safe range, the green light stays on, allowing vehicles to pass. This project ensures efficient traffic control and prevents structural damage to the bridge, offering a smart and cost-effective solution for safer transportation infrastructure.
Automatic control system for sericulture farming
To enhance sericulture farming, the implementation of an Automated Environmental Control System (AECS) is proposed. This system will utilize advanced technologies to monitor and regulate key environmental parameters affecting silkworm health and productivity.
The solution includes the following components:
Real-Time Monitoring Sensors:
Temperature Sensors: Measure ambient temperature continuously.
Humidity Sensors: Track humidity levels to ensure optimal conditions.
Light Sensors: Adjust artificial lighting based on natural light conditions.
Health Assistance Robot
So, we have made the health assistant robot. This contains two options:-
Enter Disease- You will see four disease options when you click this option. You have to click one of them. Then, you will find the symptoms, causes and prevention.
Call with Doctor- When you click this option, you can contact to the doctors instead for going to the hospitals.
Smart Headband: Protecting Athletes, Saving Lives
This project is a
smart headband system designed to
detect head impacts during sports
using a sensor. It alerts players with
an LED light and buzzer to prevent
unnoticed brain injuries.
Aquabot
A boat made of lightweight materials such as PVC pipes and foam board will be powered by dual-shaft DC motors. It will be controlled remotely using an Arduino Uno and a motor driver. The boat will move on water using propellers and collect floating trash using a non-slip mat attached to its structure.
MedicoBot
Our Medico Bot will automate the patient transfer process between the wards.
By integrating with the hospital’s existing systems, the bot will allow healthcare staff to initiate, track and confirm patient transfer in real time.
The automation will streamline the process, reduce human error, enhance operational efficiency and ensure safe & timely transfers between wards.