A real-time object detection system using PyQt6 and YOLOv8, utilizing computer vision and deep learning to identify objects in webcam feed.
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Updated
Sep 18, 2024 - Python
A real-time object detection system using PyQt6 and YOLOv8, utilizing computer vision and deep learning to identify objects in webcam feed.
My journey into embedded systems
Generic eMbedded Multiprocessor Real-Time Operating System (GeMRTOS)
An implementation of response-time analysis for set of preemptive jobs scheduled globally on a system with identical cores.
Discrete-time PID controllers in Julia
sync2brain's bossdevice RESEARCH Application Programmable Interface (API) for MATLAB
Tracking conferences in Real-time Systems, Embedded Systems, Design Automation, Cyber-Pyhsical Systems, and Robotics
Build a face recognition system using Deep learning, demo by a simple real-time app with webcam
The Aarohan Project focuses on developing an advanced autonomous rover for Moon exploration. This project involves autonomous navigation using LiDAR and camera sensors, robust mobility systems, RF communication, and a 6-degree-of-freedom robotic arm for object. It aims to enhance obstacle avoidance, mobility, and task efficiency in complex terrains
A simple RTS (Real-time system) priority-based scheduler simulation library.
This repository houses a full-stack application which is used to create a real time stock price dashboard in Python, with the use of the streamlit and yfinance libraries.
A predictive maintenance system that analyzes machinery sensor data with machine learning to forecast failures, reducing downtime and maintenance costs.
An advanced spatial mapping system developed to capture and visualize 3D environments in real-time using cutting-edge sensors and algorithms. Ideal for applications in robotics, AR/VR, and autonomous navigation.
Two-Level Segregated Fit - O(1) Memory Allocation Algorithm
Self-Supervised Adaptive and Interpretable Anomaly Detection with Dynamic Operating Limits
Our geosharing application enables users to share their location using an integrated Google Map, offering real-time updates of other users' locations. This feature ensures seamless and accurate location sharing, enhancing connectivity and coordination among users
Sistema de Estabilización de un Dron, implementado con un microcontrolador STM32, FreeRTOS y C.
The project provides a comprehensive solution for monitoring and managing plant environments, leveraging advanced software tools and modular design principles. It aims to offer flexibility, scalability, and reliability in plant care management, catering to both novice users and experts seeking to optimize plant growth conditions effectively.
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