Object detection and classification has traditionally been challenging due to variations in viewpoints, different sized images, and dynamic illumination conditions. One solution that can help is to employ a neural network that has been trained to detect and classify objects.
Learn more:Object detection and classification has traditionally been challenging due to variations in viewpoints, different sized images, and dynamic illumination conditions. One solution that can help is to employ a neural network that has been trained to detect and classify objects.
embeddedcomputing.com/application/industrial/rob…Initially, object detection is employed to identify if the detected object is the target master robot. Then, the CNN model structure, as depicted in Fig. 1, is utilized to determine whether the object is a tracking robot.
www.sciencedirect.com/science/article/pii/S240595…“This work shows very promising results on how a robot can combine information observed from multiple viewpoints to achieve efficient and robust detection of objects.”
robotics.mit.edu/object-recognition-robotsThis project involves building an ultrasonic object-tracking robot that follows objects using an HC-SR04 ultrasonic sensor. The robot is powered by Arduino and controlled via the L298N motor driver. The system detects objects and follows them, stopping when the object is no longer within a detectable range.
github.com/Aloka-Tek-Teach/Object-Follower-BotMoondreamObjectTracking, an open-source project that enables real-time object tracking for robots using Moondream AI and OpenCV. The system efficiently combines AI-based detection with optical flow tracking and a Kalman filter, allowing robots to identify and follow objects with improved accuracy.
circuitdigest.com/news/moondreamobjecttracking-…Robotics Vision Processing: Object Detection and …
Aug 14, 2019 · Object detection and classification has traditionally been challenging due to variations in viewpoints, different sized images, and dynamic illumination conditions. One solution that can help is to employ a neural …
Efficient robot tracking system using single-image-based object ...
Feb 1, 2024 · Initially, object detection is employed to identify if the detected object is the target master robot. Then, the CNN model structure, as depicted in Fig. 1, is utilized to determine …
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Object recognition for robots | Robotics @ MIT
“This work shows very promising results on how a robot can combine information observed from multiple viewpoints to achieve efficient and robust detection of objects.”
Aloka-Tek-Teach/Object-Follower-Bot - GitHub
This project involves building an ultrasonic object-tracking robot that follows objects using an HC-SR04 ultrasonic sensor. The robot is powered by Arduino and controlled via the L298N motor …
MoondreamObjectTracking: A Simple Way to Add Object …
Feb 13, 2025 · MoondreamObjectTracking, an open-source project that enables real-time object tracking for robots using Moondream AI and OpenCV. The system efficiently combines AI …
Computer-Vision Based Object Detection and Recognition for …
In this paper, we present a viable approach for a real-time computer vision based object detection and recognition for efficient indoor navigation of a mobile robot.
A new CNN-BASED object detection system for …
Aug 15, 2024 · We then develop a new CNN-based object identification system that is capable of identifying cars, motorcycles, people, and rickshaws under morning, afternoon, and evening lighting conditions. An SSD Mobilenetv2 FPN …
Object Detection Applied to Indoor Environments for Mobile …
Jul 28, 2016 · In this work, a vision system to detect objects considering usual human environments, able to work on a real mobile robot, is developed. In the proposed system, the …
Autonomous object detection and tracking robot using Kinect v2
Object detection and tracking are one of the key features of a robust autonomous mobile robot, allowing it to navigate places and avoid obstacles. The Mobile ro.
A Training-Free Framework for Precise - arXiv.org
2 days ago · Our innovation lies in the use of state-of-the-art vision models to reliably detect / track the interaction site ... with the target object in view from robot’s head mounted camera. …
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