SecureVision AI delivers enterprise-grade computer vision solutions focused on facial recognition and automatic number plate recognition (ANPR). Our systems are designed for high accuracy, scalability, and real-world deployment across security-critical environments.
Our facial recognition solution uses advanced deep learning models to identify and verify individuals in real time. It is designed for high-security environments where accuracy, speed, and reliability are critical.
Our ANPR solution automatically detects, reads, and processes vehicle number plates from live camera feeds. It is optimized for accuracy under challenging lighting and weather conditions.
The system first detects human faces within video frames using optimized computer vision models designed for real-time performance.
Unique facial features are extracted and converted into numerical embeddings for fast and accurate comparison.
The extracted features are matched against authorized or restricted databases to determine access or trigger alerts.
Vehicles are detected in live camera streams using AI models trained on diverse traffic scenarios.
The system isolates number plates even in low-light or angled views.
Optical character recognition converts plate images into structured text data for logging and decision making.
Facial recognition ensures only authorized personnel can enter restricted areas.
ANPR automates vehicle entry, exit, and enforcement workflows.