We turn what your
camera sees into a decision
that runs on your line.
Computer vision is not a side skill for us; it is the core of the business. We deliver a measurable PoC from your own product images in a short time — reported with accuracy and false alarm rate.
LIVE
Real-time analysis on RTSP streams
DECISION
Pass or fail, next to the line
EDGE
Runs on the device, data stays on site
PoC
Accuracy and false alarm rate reported
Representative scene.
Model Capabilities
We pick the architecture that fits the problem and train it on your own product images: detection, segmentation, anomaly detection, OCR and tracking, chosen for the defect you actually have.
- neurologyObject detection
- check_circleSegmentation (pixel-level separation)
- check_circleAnomaly and novel defect detection
- check_circleClassification and quality grading
- check_circleMulti-object tracking
- check_circleOCR and character verification
Representative scene.
Operating Environment
The model is optimised for the target hardware and runs next to the line. No server dependency, no video leaving the plant, and it keeps working when the internet does not.
- developer_boardReal-time inference on edge devices
- check_circleGPU server or fully on-prem install
- check_circleWorks with existing IP and industrial cameras
- check_circleLow light and harsh field conditions
- check_circleKeeps running through internet outages
- check_circleArchitecture where data never leaves the company
Representative scene.
Line and System Integration
A decision only counts when the line acts on it. The result goes to your PLC, MES and quality systems as a signal, together with the evidence image.
- hubSignal exchange with PLC / SCADA
- check_circleData flow into MES, ERP and quality systems
- check_circleAutomatic rejection trigger for defective products
- check_circleInstant alarms: screen, siren, email, message
- check_circleRecorded together with the evidence image
- check_circleReporting dashboards by shift and line
Cameras — inventoried across 45 branches and connected to live streams
FPS — frame rate measured on live RTSP streams
Per-frame processing (p95) — measured in a quality control PoC
Product lines — computer vision, commerce, voice and text
Figures come from measurement logs of our own projects; they contain no customer identity.
Strengthen Your Existing Systems Without Replacing Them
Camera footage is processed in a single layer; the decision comes back to the systems you already use, as a signal.
Wherever a Camera Can See, We Can Build
Quality Control in Production
Catches surface scratches, missing parts, wrong assembly, colour and dimension deviations at line speed.
Workplace Safety
Helmet, vest and glove checks; restricted zone entry, forklift-pedestrian proximity and fall detection.
OCR and Label Verification
Reading lot, serial number, expiry date, barcode and plate; stopping a wrong label before it ships.
Counting, Stock and Shipping
Pallet and box counting, shelf occupancy tracking, load verification and missing or excess shipment detection.
Measurement and Alignment
Dimension, angle, position and alignment measurement; automatically removing out-of-tolerance products from the line.
Process and Efficiency Monitoring
Cycle time, downtime causes, bottleneck analysis and visibility by operator and station.
How a Computer Vision Project Moves
Site and Lighting Study
Camera position, angle, lighting and line speed are established.
Data and Labelling
Images are collected from your product and defect types are labelled.
Training and PoC
The model is trained; accuracy and false alarm rate are measured and reported.
Edge Deployment
The model is optimised for the target hardware, installed on the line and wired to PLC/MES.
Monitoring and Retraining
As new defect types appear the model is updated and performance is watched continuously.
PoC first, investment second.
We run a tightly scoped proof of concept on your own product images; we scale to the whole line only after you have seen the results.
WE WORK BEYOND COMPUTER VISION TOO
Frequently Asked Questions
Do I need new cameras for CVAI Quality Control?
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No. CVAI works with existing IP and industrial cameras. Camera position, angle and lighting are reviewed at the start of the project.
How is accuracy measured?
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In the proof of concept the model is trained on your own product images, and accuracy and false alarm rate are measured and reported before anything is rolled out to the whole line.
Does it keep working without an internet connection?
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Yes. The model runs on an edge device next to the line, makes the decision there and keeps running through internet outages.
Pick one line, one defect type.
We will show you the rest.
We start with your own product images and report accuracy and false alarm rate.
- check_circle The first call is free and technical
- check_circle We start under NDA
- check_circle Scope and price are clear up front
PROJECT REQUEST FORM