AI-focused Computer Vision Engineers in Saudi Arabia

We deliver perception stacks for ADAS and autonomous platforms, focusing on multi-sensor fusion, high-precision object detection, lane and drivable-area segmentation, and tracking under varied lighting and weather. Our engineers optimize models for latency and safety, implement uncertainty estimation and explainability, and support simulation-to-reality transfer to reduce domain shift and increase on-road robustness.

Our CV teams build medical imaging pipelines for CT, MRI, X-ray and pathology: segmentation, lesion detection, classification and quantification. We ensure regulatory-aware development, model interpretability, annotation workflows, and performance validation. Solutions help reduce diagnostic variability, speed triage, and integrate with PACS and clinical backends while preserving patient privacy and auditability.

Automated visual inspection systems detect defects, measure tolerances, and classify anomalies on production lines in real time. We design robust data pipelines, synthetic augmentation, and lightweight models for edge devices, enabling high-throughput quality assurance, root-cause analytics, and integration with MES systems to reduce scrap and downtime.

From shelf monitoring and loss prevention to visual search and personalized merchandising, our CV engineers build scalable solutions for customer analytics, planogram compliance, inventory detection and automated checkout. We optimize models for diverse store environments, multi-camera setups, and privacy-preserving deployment to boost conversion and operational efficiency.

We develop scalable video analytics for perimeter security, crowd monitoring, and anomaly detection with real-time object detection, multi-object tracking, behaviour analysis, and facial recognition options. Solutions are optimized for on-premise edge inference, secure data handling, low false-positive rates, and seamless integration with VMS and incident workflows.

Our vision systems support crop monitoring, yield estimation, pest and disease detection, and autonomous spraying using UAV and tractor-mounted cameras. We combine multispectral and RGB models, segmentation and object counting, and domain adaptation to handle seasonal and lighting variance, improving yield, input efficiency, and sustainable practices.

We power vision capabilities for robotics, AR/VR experiences, and sports performance: pose estimation, motion capture, real-time object interaction, and scene understanding. Engineers optimize perception for low-latency, embedded inference, synthetic data pipelines, and realism in simulated environments to accelerate product development and immersive user experiences.