SentinelML

📰 Medium · Machine Learning

Learn how SentinelML detects firearms in real-time using YOLOv8 and cloud-native infrastructure, and why it matters for safety and security applications

advanced Published 23 May 2026

Action Steps

Build a firearm detection model using YOLOv8
Configure a cloud-native infrastructure for real-time processing
Integrate SentinelML with existing security systems
Test the framework with sample datasets
Deploy the model to a cloud platform for scalable detection

Who Needs to Know This

Machine learning engineers and developers working on computer vision and safety applications can benefit from this framework, as it provides a modular and open-source solution for real-time firearm detection

Key Insight

💡 SentinelML provides a modular and open-source framework for real-time firearm detection, leveraging YOLOv8 and cloud-native infrastructure for scalable and accurate detection