Accuracy depends on the use case, data quality, and model architecture. For well-defined tasks like defect detection or object counting, we typically achieve 95-99% accuracy. Complex tasks like scene understanding may range from 85-95%. We always establish baseline metrics during the assessment phase and set measurable accuracy targets before training begins.

Yes. Modern architectures like YOLOv8 and EfficientDet process video at 30-60 FPS on GPU hardware and 15-30 FPS on edge devices like NVIDIA Jetson. We optimize models through quantization, pruning, and TensorRT conversion to achieve sub-50ms inference latency, suitable for live surveillance, production line monitoring, and traffic analysis.

Edge deployment runs CV models directly on local hardware (cameras, NVIDIA Jetson, industrial PCs) rather than sending data to the cloud. Use edge deployment when you need real-time responses under 50ms, have bandwidth constraints, process sensitive data that cannot leave the premises, or operate in locations with unreliable internet. It is ideal for factory floors, retail stores, and security systems in Saudi Arabia.

Yes. We build custom Arabic OCR pipelines that handle printed and handwritten Arabic text, including mixed Arabic-English documents. Our models support right-to-left text flow, Arabic ligatures, diacritics, and common Saudi document formats including national IDs, Iqamas, commercial registrations, ZATCA invoices, and government correspondence.

We follow a privacy-by-design approach. All data can be processed on-premises or in Saudi-hosted cloud regions (AWS Bahrain, Azure UAE). We implement face anonymization, data encryption at rest and in transit, role-based access controls, and automated data retention policies. Our solutions comply with SDAIA data protection regulations and NCA cybersecurity standards.

Hardware requirements vary by use case. For cloud-based processing, you need standard cameras and a reliable internet connection. For edge deployment, we recommend NVIDIA Jetson devices (Nano for simple tasks, AGX Orin for complex multi-stream processing). Industrial cameras with GigE or USB3 interfaces work best for quality inspection. We provide a full hardware specification during the assessment phase.