Amity Innovation and Design Centre

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.

3D-printed airframe; hybrid multirotor/fixed-wing configuration; electric propulsion; flight-control system; transition-capable control architecture. A lightweight VTOL (Vertical Take-Off and Landing) drone was developed to combine the vertical take-off and hovering capability of a multirotor with the efficient forward flight of a conventional aeroplane. The airframe was produced using 3D printing to enable rapid prototyping, easy modification and reduced structural weight. The project focused on integrating the propulsion and flight-control elements required for stable vertical flight and controlled transition into forward flight, providing a practical platform for studying hybrid UAV design, aerodynamic behaviour and autonomous aerial systems.

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.