A Blender pipeline for generating synthetic images of production lines

PyTorch implementation of RIC for conveyor systems with Deep Q-Networks (DQN) and Profit-Sharing (PS). Wang, T., Cheng, J., Yang, Y., Esposito, C., Snoussi, H., & Tao, F. (2020). Adaptive Optimization Method in Digital Twin Conveyor Systems via Range-Inspection Control. IEEE Transactions on Automation Science and Engineering.

Miniature 3D printed conveyor belt for simulation and fun working with sensors, all controllable with Raspberry Pi

This repo contains my bachelor thesis project which is a conveyor belt system that detects and separates rotten fruits using machine learning.

A warehouse integrated with the Internet of Robotic Things

This consists of my front end projects in which I have coded in CSS and JS. Check this out you will surely enjoy the README.md.

Documentation for PLC and Conveyor Belt system in MXET 400.

Objects on conveyor belt are distinguished by Heights

A precise and user-friendly Arduino project for real-time monitoring of conveyor belt speeds. Utilizing a rotary encoder and an LCD display, this tool measures RPM and calculates belt speed in meters per second and meters per minute, enhancing industrial efficiency and safety.

This is a simple simulator for a conveyor belt, with the purpose to enable research and test algorithms related to state estimation and tracking of objects on the conveyor.

ROS2 interface for the conveyor belt in Webots.

This set of programs are for 3 different part of my high school final project. A 3dof anthropomorphic robot controlled by Arduino. A conveyor belt controlled by a Siemens PLC. A touch screen panel connected to the PLC.

This repository contains many projects which were implemented by computer engineering students who are from CSE_HCMUT under my supervision.

This is a coding challenge for a conveyer belt. There is a factory production line around a single conveyor belt. Components (of type A and B) come onto the start of the belt at random intervals; workers must take one component of each type.

Implementation of deep learning method (EfficientDet) and conventional computer vision method for detecting moving objects on a trainer conveyor

Use the ArUco marker to calculate the relative coordinates and move Turtlebot3 to the corresponding location. Recognize a small box as an object with yolo8, pick it up with the manipulator, and place it on the conveyor belt. Pick up the box again at the end of the conveyor belt and move it to the unloading area.

It is ros2 humble gazebo classic simulation project in which there is a conveyor belt on which objects are classified based on aruco markers and pushed on another conveyor belt

Front end for the industrious module