Computer Vision
Computer vision used to belong to research papers and conference demos. Today it has become a standard part of modern video surveillance. Cameras no longer just record what happens. They understand scenes, highlight events, and help operators avoid drowning in hours of useless footage. SmartVision turns an ordinary computer or smartphone into a full video surveillance system with built-in analytics. The software automatically analyzes video streams, detects objects, tracks movement, and records events. Cameras stop being passive recorders and start acting as environmental sensors.
Computer vision as the system’s foundation
The system can recognize faces, identify vehicles, detect motion, and find any objects of interest in the frame. When an event occurs, video is automatically uploaded to the cloud, where processing and storage continue. This hybrid approach distributes workload between the local device and the cloud, balancing speed, reliability, and scalability.
The system can recognize faces, identify vehicles, detect motion, and find any objects of interest in the frame. When an event occurs, video is automatically uploaded to the cloud, where processing and storage continue. This hybrid approach distributes workload between the local device and the cloud, balancing speed, reliability, and scalability.
Cloud Solution
Hybrid architecture: local and cloud together
One of the key ideas behind SmartVision is source-side analytics. Part of the processing happens directly on the computer or phone running the app. This reduces latency, lowers internet load, and allows the system to keep working even with unstable connectivity. The cloud complements the local system. It provides remote access, event storage, online viewing, and additional analytics. Users can open their cameras from any device and access recordings and alerts from anywhere.
One of the key ideas behind SmartVision is source-side analytics. Part of the processing happens directly on the computer or phone running the app. This reduces latency, lowers internet load, and allows the system to keep working even with unstable connectivity. The cloud complements the local system. It provides remote access, event storage, online viewing, and additional analytics. Users can open their cameras from any device and access recordings and alerts from anywhere.
Support for multiple video sources
SmartVision works with nearly any video source. IP cameras, old smartphones, screen capture, files, and network streams. All cameras appear simultaneously in a single interface, giving a complete overview of what is happening.
Motion and event detection
Intelligent motion detection is one of the core system features. Recording starts only when motion or an event appears. This saves storage and dramatically speeds up event search. Instead of watching hours of footage, users get a list of detected events.
Neural networks and modern computer vision
Modern analytics are built on advanced object detection algorithms. Computer vision has evolved from classical methods to deep neural networks.
Early systems relied on R-CNN, which offered high accuracy but was too slow for real-time use. Fast R-CNN and Faster R-CNN improved performance by sharing feature maps and introducing region proposal networks.
R-FCN followed as a fully convolutional architecture that further increased speed and reduced computational load. At the same time, SSD emerged, enabling detection of objects of different sizes in a single pass.
Then came YOLO, a breakthrough for video surveillance. It detects objects in one neural network pass and is ideal for real-time video analytics. Architectures like these form the foundation of modern SmartVision analytics, allowing live stream analysis without delay.
Face and license plate recognition
Object detection enables more advanced tasks. Face recognition supports access control and fast archive search. License plate recognition automates parking and vehicle entry systems. The system can react automatically and send alerts when events occur.
Smartphone as a surveillance camera
Computer vision in SmartVision is not limited to PCs. The mobile app turns a smartphone into a motion-detecting camera. The phone captures events, records video, and uploads it to the cloud. It is a simple way to build surveillance without buying additional hardware.
Why computer vision changes surveillance
The biggest limitation of old systems was data volume. Cameras recorded everything, and humans had to search manually. Computer vision solves this problem. The system highlights important moments and turns video streams into structured events.
Video surveillance stops being a passive archive and becomes an active security tool. Cameras no longer just watch. They understand what is happening. And that is what makes modern surveillance truly smart.
SmartVision works with nearly any video source. IP cameras, old smartphones, screen capture, files, and network streams. All cameras appear simultaneously in a single interface, giving a complete overview of what is happening.
Motion and event detection
Intelligent motion detection is one of the core system features. Recording starts only when motion or an event appears. This saves storage and dramatically speeds up event search. Instead of watching hours of footage, users get a list of detected events.
Neural networks and modern computer vision
Modern analytics are built on advanced object detection algorithms. Computer vision has evolved from classical methods to deep neural networks.
Early systems relied on R-CNN, which offered high accuracy but was too slow for real-time use. Fast R-CNN and Faster R-CNN improved performance by sharing feature maps and introducing region proposal networks.
R-FCN followed as a fully convolutional architecture that further increased speed and reduced computational load. At the same time, SSD emerged, enabling detection of objects of different sizes in a single pass.
Then came YOLO, a breakthrough for video surveillance. It detects objects in one neural network pass and is ideal for real-time video analytics. Architectures like these form the foundation of modern SmartVision analytics, allowing live stream analysis without delay.
Face and license plate recognition
Object detection enables more advanced tasks. Face recognition supports access control and fast archive search. License plate recognition automates parking and vehicle entry systems. The system can react automatically and send alerts when events occur.
Smartphone as a surveillance camera
Computer vision in SmartVision is not limited to PCs. The mobile app turns a smartphone into a motion-detecting camera. The phone captures events, records video, and uploads it to the cloud. It is a simple way to build surveillance without buying additional hardware.
Why computer vision changes surveillance
The biggest limitation of old systems was data volume. Cameras recorded everything, and humans had to search manually. Computer vision solves this problem. The system highlights important moments and turns video streams into structured events.
Video surveillance stops being a passive archive and becomes an active security tool. Cameras no longer just watch. They understand what is happening. And that is what makes modern surveillance truly smart.