Overview
Project Description
A set of AI experiments focused on practical smart applications: object recognition, automation assistance and simple intelligent interfaces.
Supervisor: NEXUS Project Team
Materials
Hardware / Material
- Laptop
- Camera or image dataset
- Python environment
- Test images
- Optional microcontroller
Technologies
Technologies Used
PythonOpenCVYOLONumPyModel inferenceDataset preparation
Tutorial
Build Steps
- Collect or prepare a small image dataset.
- Install Python dependencies and test OpenCV.
- Run a pre-trained object detection model.
- Display detections with labels and confidence.
- Connect results to a simple action or dashboard.
- Document limitations and possible improvements.
Images
Project Gallery
Code
Code / Repository Notes
from ultralytics import YOLO
model = YOLO('yolov8n.pt')
results = model('test-image.jpg')
for result in results:
result.show()
Participation
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