Object Detection
Detect, classify and count objects in images and video — products, people, vehicles and more.
Computer Vision
Vision AI that sees what matters
Custom computer vision systems — object detection, OCR, quality inspection and video analytics — deployed on cloud or edge hardware.
Real-timeInference at speed
Cloud or edgeYour infrastructure
Any cameraRTSP, USB, IP
What We Build
Vision AI for every use case
OCR & Document AI
Extract structured data from invoices, forms, ID documents and handwritten text.
Quality Inspection
Automated defect detection on production lines — faster and more consistent than manual inspection.
Video Analytics
People counting, zone monitoring, anomaly detection and activity recognition.
Medical Imaging
Radiology assist, pathology screening and diagnostic support tools.
Agriculture & Environment
Crop health monitoring, pest detection and satellite/drone image analysis.
Our Process
From camera to production CV system
1
Data Assessment
Existing image data reviewed — volume, quality, labelling needs identified.
2
Model Selection
YOLO, EfficientDet, custom architecture — selected for your accuracy/latency trade-off.
3
Training
Supervised training with your labelled data — active learning to minimise annotation effort.
4
Validation
Precision, recall and F1 benchmarked on your real-world test set.
5
Deployment
Camera integration, inference API or edge device — with monitoring and retraining pipeline.
FAQ
Common questions
How much training data do we need?
Depends on task complexity — as few as 200 labelled images for simple detection, thousands for complex scenes. We'll advise.
Can it run on-premise or on edge devices?
Yes — we deploy on Jetson Nano, Raspberry Pi, industrial PCs and on-prem servers as well as cloud.
What accuracy can we expect?
Typically 90–99%+ on well-defined tasks with adequate training data. We benchmark before you commit to production.
How do we handle new object classes over time?
We build incremental learning pipelines so the model can be updated with new classes without full retraining.
Computer Vision Development — AI That Sees and Understands
TECHTARN is a computer vision development company building object detection, image recognition and video analytics AI for businesses across the USA, Canada, UK, UAE, Singapore, Australia and worldwide. We turn cameras and images into actionable intelligence.
Computer vision unlocks automation and insight from visual data that was previously impossible. From quality inspection and security monitoring to retail analytics and medical imaging, our computer vision solutions help businesses see more, understand more and act faster.
Our Computer Vision Services
We build custom vision systems for object detection and counting, image classification and recognition, video analytics and tracking, defect detection, facial recognition and OCR. We deploy on cloud, on-premise servers and edge devices like Jetson Nano and Raspberry Pi for real-time, low-latency inference without cloud round-trips.
Our vision models are built with PyTorch and TensorFlow, achieving 90-99%+ accuracy on well-defined tasks. We handle the complete pipeline — data collection, annotation, training, deployment and monitoring via MLOps. Vision AI pairs powerfully with AI agents for automated decision-making based on what the system sees.
For industries like manufacturing and healthcare, computer vision is transformative. Ready to build vision AI? Estimate your project with our AI cost estimator or book a free consultation.
Ready to deploy computer vision?
Tell us what you need to see. We'll assess feasibility and quote within 48 hours.
Get In Touch
Ready to get started?
Tell us about your project. We reply within 4 business hours.
Send Us a Message