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This technology provides an automated system and method for testing the stator winding resistance of a three-phase induction motor before operation. Controlled by a Programmable Logic Controller (PLC) with an integrated RTD module, the system automatically isolates the main AC power source via a dedicated checking contactor and logic relay units before measuring resistance sequentially across all phase terminals (R-Y, YB, B-R). The PLC compares the measured values against each other and predefined thresholds in memory; if the readings are balanced and within safe limits, the main contactor is engaged to start the motor, while any detected fault prevents startup to eliminate the risk of motor burnout.
A thermal management system designed for helmets that utilizes heat-absorbing material to overcome the discomfort and heat buildup common in conventional protective headwear. By actively absorbing excess thermal energy directly from the wearer's head, the material regulates the microclimate inside the helmet, maintaining the head temperature near normal human body temperature (~36.8°C). This passive cooling solution operates efficiently without requiring external power, moving parts, or bulky cooling arrangements. By preventing heat accumulation, it mitigates thermal stress and fatigue, significantly enhancing wearer comfort during prolonged use in hot weather or demanding operational environments.
An adaptive torque control system and method engineered to dynamically optimize electric vehicle (EV) motor performance, stability, and traction across diverse driving conditions. Featuring an integrated multisensor suite, processing unit, and motor actuator, the system continuously monitors key operational variables—including road surface friction, pitch and roll inclination angles, battery state-of-charge (SOC), vehicle speed, and cargo load. By calculating realtime wheel slip ratios from wheel and ground speeds, the processing unit applies a dynamic torque compensation strategy to prevent wheel slippage on steep or slippery terrain.
An AI-driven, machine vision system for the automatic, non-destructive inspection, grading, and sorting of fruits and vegetables. Featuring controlled illumination, a conveyor, and a rotating platform, the system captures multi-angle images to evaluate produce without physical damage. Advanced machine learning algorithms assess key quality parameters—including freshness, ripeness, firmness, size, texture, and surface defects— while detecting common diseases. The system then automatically classifies produce into quality grades and routes them into corresponding bins via integrated actuators.
An Automatic temple lamp designed for continuous 24×7 lighting with minimal human intervention. The system integrates a traditional oil lamp with an oil container, wick bobbin, wick holder, and an automated control section. A microcontroller with a GSM module is integrated with ultrasonic sensors, infrared sensors, a float switch, an electro valve, DC motors, servo motors, a motor driver circuit, a motor speed regulator, and an LCD display. The ultrasonic sensor monitors the oil level in the main oil container and sends an alert to a registered mobile phone when the oil level falls below a threshold. The float switch monitors the oil level in the lamp bowl and automatically activates the electro valve to replenish oil. The infrared sensor detects reduced wick length and activates the DC motor to maintain the required wick length. A servo motor-operated blade periodically removes ash from the wick. The system also monitors component status and sends alerts upon malfunction.
An automated mobile demining system and method designed to detect, locate, and map landmines and hazardous objects to enhance the safety, efficiency, and reliability of clearance operations. The mobile platform is equipped with wheels, multi-sensor suites, an onboard camera, an integrated GPS module, and a rotating sweeping arm carrying a scanner to thoroughly analyze target areas. Controlled via an input unit, a server-based processing unit creates terrain-aware grid paths tailored to surface conditions and elevation profile. Field data collected during autonomous navigation is transmitted to the server to generate high-precision 2D and 3D operational maps, providing detailed situational analysis for safe demining.
An Automatic Tray Recognition System (ATRS) that uses a Dense Neural Network (DenseNet) to accurately identify empty security trays in airport baggage screening systems. The challenges technology caused by overcomes non-uniform illumination and specular reflections, enabling reliable detection of empty trays for automated recirculation. By eliminating manual tray handling, the system improves operational efficiency, reduces security personnel workload, minimizes delays, and enhances the overall passenger screening process.
Conventional LPG cooking stoves operate at an average thermal efficiency of only 40%, with radiation dissipation accounting for the primary pathway of energy loss. This technology introduces an optimized physical redesign featuring a targeted circular ring that encompasses the burner assembly. By physically capturing and redirecting radiant heat back toward the cooking vessel, the system arrests radiation loss, raising overall stove efficiency by 6% while simultaneously reducing cooking duration and localized thermal pollution
The Technology relates to an RFID-based smart user assistive bag designed to help students efficiently organize and manage their notebooks according to their daily academic timetable. Each notebook is equipped with a unique 13.56 MHz RFID tag, while an RFID reader positioned near the bag opening automatically scans the notebooks placed inside. A microcontroller processes the scanned RFID data and cross-verifies it with a prestored timetable database to determine whether the books are required for the specific day and time. The system provides real-time visual information about the scanned books through a display unit and generates audible and visual alerts when a required book is missing, an unnecessary or unauthorized book is detected, or an RFID scanning failure occurs. The bag can synchronize timetable information with an educational institution's server through Wi-Fi or Bluetooth Low Energy. It can also send real-time notifications to parents or guardians, thereby improving student preparedness, reducing unnecessary book carrying, and supporting better organization of school materials.