2025
Entries
Technical Abstract:
Problem Statement:
Modern urban infrastructure is fragmented in addressing energy production, air quality, and thermal regulation. Current systems operate independently, creating inefficiencies:
Solar panels generate energy but lack air purification or heat reduction.
Green roofs require high maintenance, irrigation, and structural support for limited cooling.
In Field Mode,
Turn on intelligence-AI energy monitor that thinks for you.
The AI-Based Energy Monitor & Controller is an intelligent, all-in-one energy management system designed to address modern challenges in energy efficiency, safety, and sustainability. By leveraging artificial intelligence and automation, this solution goes far beyond traditional energy monitors, offering users real-time insights, smart control,
In modern power plants, machinery operates under high stress and extreme conditions, making fault detection a critical component for maintaining efficiency and safety. This project introduces an AI-based fault detection system tailored specifically for power generation units such as turbines, motors, and boiler feed pumps.
Artificial intelligence system with "PSOC™ 6 AI" that detects when the blender changes speed and gives an alert via voice module and LEDs. So, this device that detects when the blender is in operation and when it is off. But in general,
The AI-Driven Smart Vehicle Tracking and Fleet Optimization System is an innovative automotive security and efficiency platform designed to transform how vehicle fleets are monitored, managed, and optimized. Developed by Sunrise Tracking, this intelligent system leverages artificial intelligence (AI), GPS/GLONASS technology, and real-time data analytics to provide a comprehensive, scalable,
AI-K9 a Real Droid!
Cutting-edge sensors! AI voice command! AI-K9 is the logical next step for advanced robots!
AI-K9 provides an enhanced interface, navigating environments, providing real-time assistance.
Built in a robots-lab this Droid is composed of the newest materials! Using 24 DOF, hardware including Lidar & Sonic Sensors, Ai Vision, Weight &
Available technological solutions include smartphone apps and wearable solutions. However,
Accurate turn movement counts are critical for optimizing traffic flow and improving intersection management. This entry introduces an AI-powered system that automates turn-counting using video feeds from road intersections. By combining deep learning-based vehicle detection with real-time multi-object tracking, the framework extracts precise vehicle trajectories and classifies turn movements based on key zone crossings.
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