Real-time visual analysis and object detection systems that identify specific objects, detect anomalies, and provide instant analysis of visual data streams for industrial and maritime applications.
Our flagship computer vision project: an advanced boat detection and tracking system that provides real-time maritime surveillance and risk assessment for coastal and offshore operations.
Our maritime computer vision system uses custom-trained deep learning models to detect, classify, and track vessels in real-time, providing critical situational awareness for maritime operations and security.
Instant identification of vessels with 95%+ accuracy across various weather and lighting conditions.
Automatic categorization by vessel type, size, and potential risk level for enhanced security assessment.
Continuous vessel tracking with trajectory analysis and behavioral pattern recognition.
Automated alerts for unauthorized vessels, collision risks, and unusual maritime activity.
Fishing boats, cargo ships, pleasure craft, military vessels, and unknown objects
Up to 10km range with high-resolution camera systems and thermal imaging
Day/night operation, fog, rain, and challenging maritime weather conditions
Real-time analysis at 30+ FPS with sub-second alert generation
Our computer vision systems leverage cutting-edge deep learning architectures and custom-trained models for precise object detection and analysis.
YOLO, R-CNN, and custom architectures for real-time object identification and classification.
Pixel-level analysis for precise object boundaries and detailed scene understanding.
Optimized inference pipelines delivering sub-second response times for critical applications.
Advanced visual inspection systems for manufacturing environments, detecting defects and ensuring quality standards with precision and speed.
Identify surface defects, dimensional variations, and assembly errors with microscopic precision.
Detect scratches, dents, color variations, and texture irregularities on manufactured products.
Precise measurement of component dimensions and tolerances using computer vision metrology.
Real-time quality control at production speeds up to 1000 parts per minute.
Intelligent sorting and rejection systems based on quality assessment results.
Comprehensive quality metrics and trend analysis for continuous process improvement.
We develop custom deep learning models tailored to specific visual recognition challenges, trained on domain-specific datasets for optimal performance.
Advanced CNN architectures optimized for specific visual recognition tasks and deployment environments.
Leverage pre-trained models and adapt them to specific use cases for faster development and better accuracy.
Model compression and optimization for deployment on edge devices and embedded systems.
Detection Accuracy
Average Inference Time
False Positive Rate
Continuous Operation
Our computer vision solutions serve diverse industries with specialized applications tailored to specific operational requirements.
Vessel detection, port surveillance, and maritime traffic monitoring for enhanced security operations.
Quality control, defect detection, and automated inspection for production line optimization.
Structural monitoring, damage assessment, and predictive maintenance for critical infrastructure.
Let's discuss how our computer vision expertise can provide real-time visual analysis and automated inspection for your operations.