Object Detection
Detect, classify and count objects in images and video — products, people, vehicles and more.
Custom computer vision systems — object detection, OCR, quality inspection and video analytics — deployed on cloud or edge hardware.
Detect, classify and count objects in images and video — products, people, vehicles and more.
Extract structured data from invoices, forms, ID documents and handwritten text.
Automated defect detection on production lines — faster and more consistent than manual inspection.
People counting, zone monitoring, anomaly detection and activity recognition.
Radiology assist, pathology screening and diagnostic support tools.
Crop health monitoring, pest detection and satellite/drone image analysis.
Existing image data reviewed — volume, quality, labelling needs identified.
YOLO, EfficientDet, custom architecture — selected for your accuracy/latency trade-off.
Supervised training with your labelled data — active learning to minimise annotation effort.
Precision, recall and F1 benchmarked on your real-world test set.
Camera integration, inference API or edge device — with monitoring and retraining pipeline.
Depends on task complexity — as few as 200 labelled images for simple detection, thousands for complex scenes. We'll advise.
Yes — we deploy on Jetson Nano, Raspberry Pi, industrial PCs and on-prem servers as well as cloud.
Typically 90–99%+ on well-defined tasks with adequate training data. We benchmark before you commit to production.
We build incremental learning pipelines so the model can be updated with new classes without full retraining.
Tell us what you need to see. We'll assess feasibility and quote within 48 hours.
Tell us about your project. We reply within 4 business hours.