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Scientists have developed a robot that can decide how to move or grip objects by sensing its environment. The device is inspired by octopus’ nervous system to grab items by sensing them. Developed by ...

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Our approach is based on Obstacle Detection and calculating distance using the disparity estimated. These represent highly desirable features, especially for micro aerial vehicles.

3D motion detection uses radar to detect the distance of an object for improved accuracy and fewer false alerts compared with the standard camera. This technology also powers a bird’s eye aerial ...

The main purpose of this research is to develop a smart waste management system using the deep learning model that improves ... By integrating the trained model on TensorFlow Lite and Raspberry Pi 4, ...

The early detection ... object detection model for mobile camera-based applications aimed at farmers. The proposed YOLOv8-based model (YOLOv8s+DTAH) can be seamlessly integrated into both Android and ...