Securing Critical Infrastructure with Vision AI and Sensor Fusion
Practical approaches to reliable, scalable protection Critical infrastructure includes energy systems, transport networks, industrial facilities, and public institutions. These environments must operate continuously and safely, often across large areas and under varying conditions. Security in these contexts is not just about preventing incidents. It is about maintaining operations, ensuring safety, and reducing risk exposure. Many […]
Trustworthy AI: Embedding Security and Ethics in Machine Learning
AI has rapidly evolved from a research concept to a cornerstone of modern industry. Machine learning models now drive decisions in healthcare, finance, security, and beyond. With this pervasive influence comes a critical question: Can we trust these AI systems? Building trustworthy AI means ensuring that AI-driven systems are both secure and ethical. In practice, […]
Mastering Modern Notification Systems: From Telemetry to 5G and Beyond
In an age of real-time communication and intelligent systems, notification infrastructure has become a mission-critical layer for businesses, applications, and devices. Whether it’s alerting a security team about an intruder, notifying a customer that their pizza is on the way, or sending telemetry-based SMS messages from a smart factory, notification systems are the connective tissue […]
GDPR and AI Surveillance: Finding the Balance Between Privacy and Progress
In today’s data-driven world, the General Data Protection Regulation (GDPR) has become a cornerstone of privacy protection in the European Union and far beyond. Since its enforcement in 2018, the regulation has profoundly shaped how companies collect, process, and store personal data. At the same time, a new wave of technological innovation especially in artificial […]
Camera Substreams with AI Video Analytics Efficiency
In the world of modern surveillance and AI-based video analytics, the need for high-quality data streams and efficient processing pipelines has never been greater. Whether you’re building a smart city application, managing a retail analytics dashboard, or deploying critical infrastructure protection systems, the way you handle incoming camera footage is a crucial part of your […]
INT8 vs. FP32: Optimizing AI object recognition in video streams
Introduction Artificial intelligence (AI) in video stream analysis has become a critical technology across industries such as security, traffic management, retail analytics, and smart cities. One of the key challenges in deploying AI models for real-time object recognition is balancing accuracy with computational efficiency. Two primary data types used in AI inference are Floating Point […]
The surveillance norm: DIN EN 62676-4
DIN EN 62676-4 is a crucial standard within the realm of video surveillance systems, particularly concerning their application, performance, and operational requirements. This standard is part of the broader IEC 62676 series, which defines technical specifications for CCTV and video surveillance technologies, ensuring interoperability, reliability, and compliance with security regulations. It specifically addresses guidelines for […]
A technical deep dive into Linux distributions that go well with AI development
Introduction Artificial Intelligence (AI) development demands a robust, scalable, and efficient computing environment. While various operating systems can support AI workflows, Linux remains the preferred choice due to its open-source nature, flexibility, and extensive compatibility with AI frameworks, GPU acceleration, and cluster computing. However, not all Linux distributions (distros) are created equal. Each has specific […]
Feature extraction in AI
How AI Extracts Edges, Textures, and Shapes in Video Footage Feature extraction in AI-powered surveillance involves identifying critical visual elements that define an object or scene. The three primary components of feature extraction are: 1. Edge Detection in Surveillance Edge detection is the process of identifying significant changes in brightness within an image. It helps […]
Noise reduction in AI output streams
Noise Reduction in AI-Based Video Surveillance In the realm of video surveillance, noise presents a significant challenge, particularly in low-light and infrared (IR) conditions. Surveillance cameras often operate in environments with suboptimal lighting, and this can introduce unwanted distortions, graininess, or artifacts into the captured footage. These distortions, commonly referred to as noise, can degrade […]
