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$
USD
I will develop a ppe, weapon, or face detection model using yolov8 or faster r CNN
Ford
About this gig
Protect your workspace and enhance surveillance using advanced computer vision. I will develop a highly reliable safety and security detection model using YOLOv8 or Faster R-CNN to accurately identify Personal Protective Equipment (PPE like helmets and vests), weapons, or human faces.
Security and compliance monitoring require minimal error tolerance. I engineer these models with a strong focus on high recall and minimal false alarms, ensuring critical objects are never missed. I optimize Faster R-CNN for high-precision scenarios and YOLOv8 for rapid, real-time edge processing.
Your delivered solution includes custom model training metrics, fine-tuned confusion matrices, and a complete inference pipeline capable of triggering custom code alerts (like email notification alerts or API webhooks) whenever an item is discovered. Build a secure environment with cutting-edge vision technology. Message me now to secure your custom solution!
Get to know Ford
Ford
Object Detection, YOLOv8, OpenCV, Pose Estimation, Mediapipe, OpenPose, Software
- FromDenmark
- Member sinceMay 2026
Languages
English, Spanish
AI-powered computer vision & deep learning solutions for real-world applications. My services include object detection, YOLOv8, OpenCV, pose estimation, Mediapipe, OpenPose, image segmentation, background removal, facial recognition, real-time tracking, medical image analysis, MRI segmentation, image classification, dataset annotation, model training, and AI software development. I build custom AI systems for healthcare, sports, security, attendance systems, fitness tracking, automation, and intelligent applications using Python, machine learning, and state-of-the-art deep learning frameworks
FAQ
How do you ensure the model doesn't generate constant false alarms?
I optimize the confidence and IoU thresholds, and train the model with negative samples (background images without target objects).
Can you integrate this directly with an existing security camera system?
Yes, I can set up the Python script to constantly parse streams directly from your network NVR/DVR or IP cameras.
Which architecture is better: YOLOv8 or Faster R-CNN?
YOLOv8 is ideal for rapid, real-time streaming feeds, whereas Faster R-CNN is great for high-resolution static analysis where accuracy is the main priority.
