Swibit Solutions
Image Analysis
Computer vision, detection, and segmentation at scale.
Overview
Production-grade computer vision for diagnostics, inspection, surveillance, and document processing, tuned for Arabic/English signage, medical imagery, and regional datasets.
Capabilities
- Detection, classification and segmentation pipelines
- Multi-camera tracking and re-identification
- OCR for Arabic + English (printed + handwritten)
- Edge inference on commodity GPU/NPU hardware
- Privacy-by-design on-device redaction
- Federated learning across sites
How we deploy
From discovery to production
- STEP 1
Site survey
Existing cameras, sensors, network and compute audit.
- STEP 2
Model + harness
Train or fine-tune detection models on your footage.
- STEP 3
Edge rollout
Containerised inference on edge nodes, central dashboard at HQ.
- STEP 4
Operate
Drift monitoring and quarterly model refreshes.
Under the hood
Tech stack
YOLO / Detectron familyNVIDIA Jetson / Intel edgeKafka telemetryGrafana ops
FAQs
Common questions
Do you store video?
By default, no. Inference runs on-device and only events leave the edge.
Talk to Swibit
Ready to build sovereign AI?
Tell us what you're working on. We respond within one business day with a clear next step.