Featured Technologies

Dense fog, smoke, and haze reduce visibility and make object identification difficult in surveillance, rescue, and navigation environments. This system enhances real-time video to restore clarity and enables detection of objects even under low-visibility conditions.

Incorrect body posture during daily activities, sports, and training can lead to injury and long-term musculoskeletal problems. This system monitors body posture in real time and provides immediate corrective feedback, helping users maintain proper alignment and improve movement safety and performance.

Traditional streetlight systems rely on manual inspection, causing delayed fault detection, energy loss, and safety risks. This system enables real-time monitoring and automatic fault detection of streetlights, ensuring efficient operation and improved public safety.
It provides remote control, precise fault localization, and reliable communication without internet dependency, making it suitable for smart and sustainable urban infrastructure.

Operating heavy machinery in snow, fog, desert, or disaster environments is difficult due to poor visibility and lack of clear road guidance. This system provides real-time augmented visual navigation, helping operators track road alignment, turns, slopes, and obstacles safely.
It improves situational awareness, reduces accident risk, and enhances operational efficiency in challenging terrains and low-visibility conditions.

Identifying correct legal sections from incident descriptions is difficult for non-legal users and often leads to misclassification or delays. This system analyzes user-described incidents and automatically maps them to relevant statutory provisions, providing instant legal guidance.
It improves legal accessibility, supports faster preliminary assessment, and helps ensure accurate classification of incidents in real-world scenarios

The IoT-Based Smart Polypharmacy Medicine Dispenser is an intelligent healthcare device designed to help patients take multiple medicines on time and reduce medication errors. It uses an ESP32 microcontroller, DS3231 Real-Time Clock (RTC), DC motors, and a 3D-printed enclosure to automate medicine dispensing. Each medicine is stored in a separate drawer and can be scheduled through a web application. The ESP32 continuously checks the programmed schedule and dispenses the correct medicine at the right time. Firebase Realtime Database enables real-time communication between the hardware and the web application for remote monitoring and control. The TM1637 display shows the current time and the drawer number during medicine reminders. The system also allows caregivers to monitor and manage medication schedules remotely. Overall, the project provides an affordable, reliable, and user-friendly solution that improves medication adherence and supports smart healthcare.

The system captures the player’s kicking action from multiple camera angles, such as front, side, and rear views. These video streams are synchronized using an audio-based clap signal, allowing the system to analyze the same moment of action from different perspectives. The key event in the shot, the exact foot-ball contact frame, is identified by tracking the ball movement and the position of the player’s ankle.

Once the contact frame is detected, the system applies markerless pose estimation to extract important body keypoints, including the shoulder, hip, knee, ankle, and foot. These keypoints are then used to calculate biomechanical posture parameters such as knee angle, trunk angle, and ankle angle. The calculated posture values are compared with predefined assessment ranges to generate rule-based feedback and an overall posture score.

This innovation aims to make sports performance analysis more accessible, practical, and interpretable. It can help players understand their body alignment, balance, joint positioning, and technique during a curve shot. For coaches, the system provides a visual and data-supported method to identify posture errors and guide performance improvement.

The technology represents a step toward low-cost, AI-based sports biomechanics solutions that can be used in training environments, academic research, sports coaching, and performance evaluation. By combining computer vision, artificial intelligence, and biomechanical analysis, the system demonstrates how modern digital tools can contribute to smarter and more scientific sports training.

Key Features

• Multi-view football shot video analysis

• Audio-based video synchronization

• Markerless pose estimation without wearable sensors

• Automatic foot-ball contact frame detection

• Knee, trunk, and ankle angle calculation

• Rule-based posture evaluation

• Visual feedback dashboard and posture scoring

• Practical application in sports training and biomechanics research

Potential Applications

• Football coaching and player training

• Sports biomechanics research

• AI-based performance assessment

• Injury-risk awareness and posture correction

• Academic research and product-based innovation

• Development of low-cost sports analytics tools

Developed under the innovation and research ecosystem of Amity Innovation and Design Centre (AIDC), Amity University Uttar Pradesh, this system reflects AIDC’s focus on transforming interdisciplinary research ideas into practical, product-oriented solutions.