Transforming Visual Data into Actionable Intelligence
Arosys develops advanced computer vision systems that extract meaningful information from images and video streams. Our ML-powered solutions enable automated recognition, detection, and analysis for security, logistics, and operational applications.
Computer vision is the foundation of our most powerful operational systems. By training machine learning models to interpret visual data, we enable automated processes that previously required human observation.
Our computer vision capabilities power the ALPR systems in our APC platform, enable face recognition for access control, and provide object detection for inventory and security applications. We deploy these solutions both in the cloud and on edge devices for real-time, low-latency processing.
Purpose-built vision systems for security, logistics, and operational intelligence.
High-accuracy ALPR systems that read license plates in real-time under varying lighting, weather, and speed conditions. Supports multiple plate formats across regions.
Facial detection and recognition systems for identity verification and access control. Privacy-conscious implementations with configurable retention policies.
Custom-trained models that identify and classify objects in images and video. Applications in inventory counting, safety monitoring, and quality inspection.
AI-powered traffic analysis for smart city applications. Vehicle counting, congestion detection, and flow optimization using existing camera infrastructure.
Intelligent video analytics that transform passive cameras into active security systems. Motion detection, perimeter monitoring, and behavior analysis.
Bespoke machine learning models trained for your specific visual recognition needs. From agricultural monitoring to industrial quality control.
Our ALPR technology powers vehicle identification across security, logistics, and parking applications. The system combines high-speed image capture with deep learning-based character recognition.
Computer vision applications often require real-time response that cloud processing cannot provide. Our edge deployment capabilities bring ML inference directly to the camera location.
Real-world applications of our vision technology across industries.
ALPR-enabled parking systems that automatically log vehicle entries and exits, calculate duration, and integrate with payment systems. No tickets, no barriers for known vehicles.
Face recognition combined with ALPR for multi-factor verification at secure facilities. Employees are recognized automatically; visitors are flagged for manual verification.
Customer counting, heat mapping, and queue detection using existing security cameras. Understand traffic patterns and optimize staffing without additional hardware.
Municipal traffic analysis providing vehicle counts, classification, and congestion metrics. Support urban planning decisions with data from intersection cameras.
PPE detection ensuring workers wear required safety equipment. Hard hats, safety vests, and protective gear are verified before entry to hazardous areas.
Crop health assessment and yield estimation using drone and fixed camera imagery. Custom models trained to identify disease, pest damage, and growth stages.
Computer vision is the technological foundation of our operational platforms.
The Access & Perimeter Control platform uses our ALPR technology for automatic vehicle identification. Combined with face recognition, it enables multi-factor access verification at secure facilities.
Beyond our standard platforms, we develop custom computer vision solutions for specific operational requirements. From quality inspection to inventory counting, we train models for your use case.
Modern frameworks and infrastructure for production computer vision.
PyTorch, TensorFlow, OpenCV, ONNX Runtime
YOLO, ResNet, EfficientNet, Transformers
NVIDIA Jetson, Intel NCS, Custom Appliances
GPU Clusters, Model Registry, MLOps Pipelines
Contact us to discuss how computer vision can transform your operations with automated visual intelligence.