Innovation Project
Automatic Page Turner Machine
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Function: The operation can select the remote control method and the scanning method; The cardboard correspondence and the loose correspondence can be selected for myself. The operation corresponds to a variety of input switches. When the light comes to the place of the operation to be executed, the switch is pushed
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Operation: The center of the book is opened, and it tightens with the wire. A right and left suppression part is adjusted to the edge of the books and it is fixed. The turning part is separated from the book a little and fixed
Research
Vehicle Blind Spot Detection and Tracking System Based on Machine Learning Model
Intructed by Associate Professor, PhD. P. N. Huu - Hanoi University of Science and Technology (HUST), Hanoi, Vietnam
Published in IEEE 2023 8th International Scientific Conference on Applying New Technology in Green Buildings (ATiGB)
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Abstract:
Car accidents often happen when vehicles change lanes, turn at intersections, back up, or park in a parking lotthat is especially dangerous. Therefore, detecting people in the blind spots of cars is a significant issue. There are many methods to detect people. However, those problems do not completelysolve the problem. To solve the problem, the article proposes a system to recognize people entering the blind spot behind acar. The method that we use is to combine image processing algorithms with microwave radar sensors to collect information about the vehicle's surroundings. We use the Yolo-fastest module to extract human detection through the parts of the human body (arms, legs, head, torso), combined to increase recognition ability. Besides, using microwave radar sensors are used to detect moving objects. The results on cars have achieved 91.63% accuracy and have potential applications in self-driving cars and advanced driver assistance systems.