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Model Card for `rebotnix/rb_construction_site_beacon`

Construction Site Beacon Detection – Trained by KINEVA, Built by REBOTNIX, Germany Current State: in production and re-training.

rb_construction_site_beacon is a specialized object detection model trained to detect construction site beacons — warning lights and signal beacons commonly found on construction zones, roadwork barriers, and temporary traffic installations. Designed for reliable detection across varying lighting conditions, weather, and backgrounds, this model is well suited for construction site monitoring, safety compliance, and autonomous navigation around work zones.

Developed and maintained by REBOTNIX, Germany, https://rebotnix.com

About KINEVA

KINEVA is an automated training platform based on the MCP Agent system. It regularly delivers new visual computing models, all developed entirely from scratch. This approach enables the creation of customized models tailored to specific client requirements, which can be retrained and re-released as needed. The platform is particularly suited for applications that demand flexibility, adaptability, and technological precision—such as industrial image processing, smart city analytics, or automated object detection.

KINEVA is continuously evolving to meet the growing demands in the fields of artificial intelligence and machine vision. https://rebotnix.com/en/kineva

Example Predictions

Input Image	Detection Result

Model Details

Architecture: KINEVA SILVER (custom training head with optimized anchor boxes)
Task: Construction Site Beacon Detection (single class)
Trained on: Proprietary construction site beacon dataset
Format: PyTorch .pth + ONNX and TRT export available on request
Training Framework: PyTorch + KINEVA + custom augmentation

We're happy to license or provide access to all intermediate weights for research or further development purposes. Please feel free to reach out.

Dataset

The model was trained on a proprietary dataset of construction site beacon images, featuring:

Construction site warning beacons and signal lights
Varied lighting conditions including daylight, dusk, and night
Diverse backgrounds including urban streets, highways, and construction zones
Multiple beacon types, orientations, and occlusion levels

Intended Use

Intended Use	Not Intended Use
Construction site beacon detection in images	Surveillance without human review
Safety compliance monitoring on construction sites	Military / lethal applications
Autonomous vehicle navigation around work zones	Real-time safety-critical decisions without human oversight
Urban infrastructure and roadwork analysis

Limitations

May yield false positives in scenes with similar-looking light sources
Not fine-tuned for thermal or night vision imagery
Occlusion and extreme viewing angles may reduce detection accuracy

Usage Example


from kineva import KINEVA

#initialize model
model = KINEVA(model="models/kineva_construction_site_beacon.pth")

#run inference on image
final_boxes, final_scores, final_labels = model.detect("example_construction_site_beacon_1.jpeg", threshold=0.35)

#draw detection
model.draw(final_boxes, final_scores, final_labels, output_path="./outputs/output_1.jpg")

Contact

For commercial use or re-training this model support, or dataset access, contact:

REBOTNIX
Email: communicate@rebotnix.com
Website: https://rebotnix.com

License

This model is released under CC-BY-NC-SA unless otherwise noted. For commercial licensing, please reach out to the contact email.

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