Automated Conveyor Belt System
Design and develop an automated conveyor belt system that utilizes ultrasonic sensors for object detection, and uses servo motors to sort objects based on their size. The system also have a mechanism for notifying operators in case of malfunctions or system errors.
Beach cleaning Bot
Trash accumulation on beaches harms marine life, disrupts ecosystems, and reduces coastal appeal. Similarly, fish in unsafe zones face ecological threats.
This project proposes a smart robotic system to detect beach garbage and alert cleaning authorities while identifying fish in hazardous areas and notify.
Using sensors, computer vision, and wireless communication, it aims to improve beach cleanliness and support marine conservation.
Smart ICU system
The ICU Beds Status Availability System offers an automated solution to manage ICU bed occupancy.
Using IR sensors, the system detects bed availability and updates the hospital’s database in real-time.
An Arduino UNO microcontroller processes this data and transmits it to the hospital’s network or mobile app, allowing staff to instantly access ICU bed status and efficiently manage patient admissions. Additionally, the system helps reduce manual tracking errors, ensuring more accurate bed status updates. It also improves communication across departments, enabling faster decision-making in critical situations, ultimately enhancing patient care and hospital resource management.
Smart Factory-Noise and Air Quality Monitoring System
The Smart Factory Noise and Air Quality Monitoring System is an innovative solution designed to enhance workplace safety in industrial environments. By continuously monitoring real-time noise levels and air quality, the system utilizes a sound sensor and an air quality sensor to provide critical data.
Key features include a 16×2 LCD display that shows current conditions, an alert system that activates visual (LED) and audible (buzzer) warnings when noise exceeds 85 dB or air quality falls below safe thresholds.
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.