HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

HUAWEI HMS meachine learning services demo apk download.

An android detection library that uses Azure Computer Vision Read API to detect MPESA business and/or account numbers from images

A browser-based tool for image annotation

This project demonstrates how to track a ball in a video showcasing a Tennis game by training a custom YOLO detection model. The model is trained not only for ball detection but also interpolation to handle areas where the tracking fails.

People Detector is a Python script that processes videos as input and performs individual people detection, tracking, and counting, using YOLOv5 and motpy. It then displays bounding boxes around each person, assigns unique IDs, and shows the count of people in the video frame.

Real-time multi-sensor defence AI system using YOLOv8, DeepSORT, and thermal fusion on Jetson Orin. Includes OCSS object detection, Drishyak fog/smoke enhancement, 24×7 multi-camera inference, <500ms pipelines, full YOLO training + dataset workflow, and defence-grade SRS/SDD/ATP docs.

Real-time object detection and tracking using YOLOv8 and Deep SORT with a professional Streamlit interface.

This project is a Final project at B.S.c. Object detection system for visually impaired people using object detection and tracking, distance measuring and alerts in 3D surround sound.

REST API to detect objects in images. Get labels, confidence scores, and bounding box coordinates. Powered by neural networks.

Drone for human tracking and following

Created API calls, application disclosure, documentation, templates, and code for Enduka Cloud for software development

KU Leuven Master Thesis - 360-degree Perception of a Vehicle Surrounding Using a Network of Radars

Repository of codes and algorithms used by University of West Bohemia in Pilsen in project DiDYMOS No. CK03000179 “Dynamic digital street model for the usage of autonomous mobility in Pilsen”