Smart Walker
Mobility Challenges: Elderly individuals struggle with movement, increasing the risk of falls and collisions.
Limited Safety Features: Traditional walkers provide support but lack smart features for accident prevention.
Delayed Emergency Response: Users may struggle to seek help after a fall or obstacle, leading to delayed assistance.
Lack of Independence: Fear of falling reduces confidence and limits mobility.
Need for a Smart Solution: A walker with obstacle detection, fall prevention, and emergency alerts is essential to enhance safety, restore confidence, and improve the overall quality of life.
AI-Powered Navigation: Adapts to the user’s walking patterns and terrain, providing real-time guidance to prevent trips and falls.
Fall Detection & Emergency Alerts: Built-in sensors detect falls and instantly notify caregivers or emergency contacts for prompt assistance.
Continuous Health Monitoring: Tracks user movements and vital signs, alerting caregivers to any irregularities.
Automatic Emergency Response: Sends GPS-based alerts to pre-set contacts or emergency services in case of an emergency.
Reliable & Long-Lasting Battery: Ensures uninterrupted support with easy charging options.
Enhanced Safety & Independence: Empowers elderly individuals with confidence while providing peace of mind to caregivers and families.
Gesture-Controlled RC Cars for Hazardous Material Transportation in Industries
In industrial environments that handle hazardous materials, ensuring worker safety is a top priority. Our project introduces a gesture-controlled RC (remote-controlled) car to enhance both safety and efficiency in material transportation. By using hand gestures to control the car, workers can maintain a safe distance from hazardous substances such as chemicals, toxic gases, or high-temperature materials, minimizing direct exposure to potential risks.
AI-Powered fish Species Identification system for Sustainable Fishing
We have developed an AI-powered fish identification system using machine learning (ML) to promote sustainable fishing practices. Our system enables fishermen to recognize different fish species from images, helping them identify their catch and release non-target species back into the water. This reduces bycatch—the accidental capture of unintended fish species—contributing to marine conservation.
Eco Flow
Industrial Waste Treatment:
Implementing effective wastewater treatment technologies and regulations to reduce the release of pollutants from industrial sources.
Agricultural Best Practices:
Promoting sustainable agricultural practices, such as reducing fertilizer and pesticide use, and implementing water-efficient irrigation techniques.
Smart Construction Helmet
Construction site deaths often result from gas leaks, lack of helmets, unknown danger zones and unnoticed injuries. Poisoning, falls and head trauma can be prevented with safety gear, awareness and communication.
Preventing construction site deaths requires strict safety measures. Use gas detectors, Ai helmet wearing detector, Integrated danger zones detector , Accelerometer for fall detector and Buzzer to aware construction worker of the injury or fall of a construction worker.
LPG Gas Alert System
Gas leaks cause explosions and hazards in households and industries.” This system detects leaks, alerts users, and shuts off the gas supply to prevent accidents.
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.