Computer Vision that turns cameras into signal.
Production-grade vision systems for defect detection, OCR, document parsing, people counting, shelf compliance and safety monitoring. Edge or cloud, latency-tuned, built for the real world.
Why computer vision is the quiet workhorse.
Every business already has cameras, scanners and document streams. Most of them are passive — recording for forensics, not actively producing value. Computer vision turns that stream into structured signal: counted objects, detected defects, parsed invoices, monitored zones, audited shelves. It's not a chatbot you talk to. It's a layer that runs silently 24/7 and writes facts to your systems.
BaigOps builds vision systems calibrated against your environment — not a public benchmark dataset. We collect the data, train the models, deploy them where they need to run, and stand behind the accuracy numbers we quote.
What our vision systems do.
- Defect & quality detection. Catch off-spec items on the production line before they ship.
- OCR & document parsing. Invoices, IDs, contracts, receipts, forms — structured data extracted automatically.
- People & queue analytics. Counting, dwell time, queue length, conversion zones in retail and hospitality.
- Shelf compliance. Stockout detection, planogram audits, share-of-shelf measurement.
- Safety & PPE monitoring. Hard-hats, hi-vis, restricted zones, unsafe acts flagged in real time.
- Edge or cloud inference. Jetson, Coral, mobile for low-latency or air-gapped; AWS/GCP/Azure for scale.
Where computer vision shines.
Manufacturing & QA
Catch defects before they ship. Visual inspection at line speed, with annotated alerts and full traceability.
Retail & supermarkets
Shelf audits, stockout detection, footfall and conversion analytics. Replaces clipboard-and-spreadsheet store audits.
Logistics & warehousing
Package label OCR, damage detection, dock-door monitoring, dimensioning and volumetric measurement.
Accounting & finance
Invoice and receipt parsing, expense automation, ID verification for KYC and onboarding.
Construction & industrial
PPE compliance, restricted-zone monitoring, asset tracking, daily site progress reports from drone or fixed cameras.
Hospitality & venues
Queue monitoring, capacity tracking, valet and parking analytics, security overlay on existing CCTV.
How BaigOps builds a vision system.
1. Use-case definition (week 1)
We define the detection task with surgical precision: what's positive, what's negative, what counts as edge case, and what the acceptable false-positive rate is.
2. Data collection & labelling (week 1–3)
We gather real-world footage from your environment, label it (or use your team's labels), and build a held-out test set you can audit.
3. Model training & calibration (week 2–4)
YOLO, custom CNNs, foundation vision models — whichever fits. We benchmark candidates on your data and pick the one that hits your accuracy bar at acceptable latency.
4. Edge or cloud deployment (week 4–6)
We deploy the model where it needs to run, integrate with your camera streams and downstream systems, and ship the alerting and dashboards.
5. Maintain & retrain
Conditions change — lighting, packaging, products, layouts. We monitor drift and retrain on a cadence so accuracy doesn't quietly decay.
Frequently asked questions.
What is computer vision used for in business?
Computer vision turns any camera or document feed into structured data: defect detection, OCR, people counting, shelf compliance, security and safety monitoring, and automated quality inspection.
Does it run on the edge or cloud?
Both. NVIDIA Jetson, Coral, mobile for low-latency or air-gapped; AWS, GCP or Azure for scale and centralised analytics.
What accuracy can I expect?
Well-defined detection tasks routinely achieve 95–99%+ after calibration on real-world data from your environment. We measure against a held-out test set and report results before deployment.
Can it work with my existing cameras?
Yes. We integrate with most IP cameras, RTSP/ONVIF streams, USB cameras, and document scanners.
How long does deployment take?
Typically 4–8 weeks depending on data collection requirements, model complexity, and the number of edge devices to provision.
Have cameras? Let's make them useful.
A 30-minute strategy call with a principal engineer. We scope your vision system and quote it in writing within a week.
Book a strategy call →