Aya Mahmood - Academia.edu (original) (raw)
Mechatronics engineering
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Papers by Aya Mahmood
aya, 2024
Design And Implementation of Real-Time AI Object Detection for Mobile Robot Applications
The proposed project revolves around the development of a real-time object detection and distance... more The proposed project revolves around the development of a real-time object detection and distance estimation system leveraging key technologies like the Nvidia Jetson TX2, Robot Operating System (ROS), YOLO AI Object Detector, and ZED Stereo Camera. With the Nvidia Jetson TX2 serving as a high-performance computing device, and the ZED Stereo Camera providing depth information, the system can efficiently detect objects and estimate their distances. The Robot Operating System (ROS) acts as a foundational framework, facilitating communication between software and hardware components. The project is divided into two main aspects: the theoretical side, where students will learn about the specifications, architectures, and capabilities of the involved technologies, and the practical side, which involves hands-on implementation and integration of these technologies. This holistic approach ensures students gain a deep understanding and valuable skills in the field of robotics and real-time object detection.
The proposed project revolves around the development of a real-time object detection and distance... more The proposed project revolves around the development of a real-time object detection and distance estimation
system leveraging key technologies like the Nvidia Jetson TX2, Robot Operating System (ROS), YOLO AI Object
Detector, and ZED Stereo Camera. With the Nvidia Jetson TX2 serving as a high-performance computing device, and
the ZED Stereo Camera providing depth information, the system can efficiently detect objects and estimate their
distances. The Robot Operating System (ROS) acts as a foundational framework, facilitating communication
between software and hardware components. The project is divided into two main aspects: the theoretical side,
where students will learn about the specifications, architectures, and capabilities of the involved technologies, and
the practical side, which involves hands-on implementation and integration of these technologies. This holistic
approach ensures students gain a deep understanding and valuable skills in the field of robotics and real-time
object detection.
yolo, 2023
Introduction • Application • When it comes to deep learning-based object detection, there are thr... more Introduction • Application • When it comes to deep learning-based object detection, there are three primary object detectors you'll encounter • Object Detection Metrics and Non-Maximum Suppression (NMS) • How AP works? • Non-Maximum Suppression (NMS) 2-Chapter II (Convolutional Neural Networks)
aya, 2024
Design And Implementation of Real-Time AI Object Detection for Mobile Robot Applications
The proposed project revolves around the development of a real-time object detection and distance... more The proposed project revolves around the development of a real-time object detection and distance estimation system leveraging key technologies like the Nvidia Jetson TX2, Robot Operating System (ROS), YOLO AI Object Detector, and ZED Stereo Camera. With the Nvidia Jetson TX2 serving as a high-performance computing device, and the ZED Stereo Camera providing depth information, the system can efficiently detect objects and estimate their distances. The Robot Operating System (ROS) acts as a foundational framework, facilitating communication between software and hardware components. The project is divided into two main aspects: the theoretical side, where students will learn about the specifications, architectures, and capabilities of the involved technologies, and the practical side, which involves hands-on implementation and integration of these technologies. This holistic approach ensures students gain a deep understanding and valuable skills in the field of robotics and real-time object detection.
The proposed project revolves around the development of a real-time object detection and distance... more The proposed project revolves around the development of a real-time object detection and distance estimation
system leveraging key technologies like the Nvidia Jetson TX2, Robot Operating System (ROS), YOLO AI Object
Detector, and ZED Stereo Camera. With the Nvidia Jetson TX2 serving as a high-performance computing device, and
the ZED Stereo Camera providing depth information, the system can efficiently detect objects and estimate their
distances. The Robot Operating System (ROS) acts as a foundational framework, facilitating communication
between software and hardware components. The project is divided into two main aspects: the theoretical side,
where students will learn about the specifications, architectures, and capabilities of the involved technologies, and
the practical side, which involves hands-on implementation and integration of these technologies. This holistic
approach ensures students gain a deep understanding and valuable skills in the field of robotics and real-time
object detection.
yolo, 2023
Introduction • Application • When it comes to deep learning-based object detection, there are thr... more Introduction • Application • When it comes to deep learning-based object detection, there are three primary object detectors you'll encounter • Object Detection Metrics and Non-Maximum Suppression (NMS) • How AP works? • Non-Maximum Suppression (NMS) 2-Chapter II (Convolutional Neural Networks)