Images: https://drive.google.com/drive/u/0/folders/135YUnjT6Iu7FqWiT7WldBYWF60OLYQHD
The project involved the integration of a RPLIDAR device with a JETSON NANO DEV KIT and implementing it on ROS. The source code was developed using C++. The main objective of this project was to establish a seamless connection between the RPLIDAR device and the Jetson Nano Dev Kit. The project required extensive knowledge of ROS, C++ programming, and hardware interfacing. The successful completion of this project ensured the efficient utilization of the RPLIDAR device with the Jetson Nano Dev Kit, which can have various applications in robotics and automation.
SMART TRANSPORTATION
In this project, the team built a goalkeeper using a DJI Robomaster EZ vehicle and then connected it to an SDK. The goalkeeper's functionality was further enhanced with the integration of computer vision technology that could recognize a ball using hue/saturation rather than object detection. The project required a combination of mechanical and software skills, including robotics, computer vision, and programming. The successful completion of this project resulted in the development of an intelligent goalkeeper that could detect the ball's movement and block it.
Stations:
AI/COMPUTER VISION
SMART TRANSPORTATION
The project involved the implementation of a computer vision-based pose detector that could detect a person's position. The team later augmented this system into 3D pose estimation, which allowed the system to capture a more accurate representation of the person's pose in space. The project required extensive knowledge of computer vision, machine learning, and programming. The successful completion of this project resulted in the development of an accurate and reliable pose detection system, which can have various applications in fields such as healthcare, sports, and entertainment.
SMART TRANSPORTATION