License plate recognition (LPR) and vehicle access control
Plate recognition on your existing cameras, with records, alerts and gatehouse integration.
Computer vision for quality inspection on the production line
Camera-based defect detection, part counting and assembly checks, trained on images from your line and integrated with your PLC.
01The problem
Manual visual inspection is tiring, varies from shift to shift and lets defects reach the customer.
02How we solve it
Cameras on the line and models trained on images from your own plant to detect defects, count parts and check assembly, integrated with your PLC or MES and with a quality history.
03How it works
-
Camera on the line
Cameras capture an image of every part at the inspection station.
-
Model inspects
A model trained on images from your plant detects defects, counts parts and checks assembly.
-
Acceptance criteria
Limits validated with your quality team decide what passes and what is rejected.
-
PLC/MES
The result goes to the PLC or MES, which rejects the part and logs the event.
04What changes in practice
Consistent inspection. The same criteria on every shift, without fatigue.
Fewer defects at the customer. Out-of-spec parts are rejected and logged on the line.
A quality history. Images and results available for root-cause analysis.
05What you get
- Feasibility study with real images
- Trained and validated model
- Edge system integrated with the line
- Quality dashboard
06How the pilot works
- Scope
- One defect type at one inspection station
- Timeline
- 6 to 12 weeks
What we measure
- defects detected
- false alarms
- customer complaints
Metrics are agreed before we start. With the numbers in hand, you decide whether to move to production.
07Pricing
Pricing
Pilot from US$ 15,000 to 35,000 with a local partner (estimate); hardware and licenses not included
Billing: project plus ongoing support.
Every project is quoted in writing after a free assessment, in US dollars or euros.
08Who it's for
- Manufacturers that inspect parts by eye
- Assembly lines that need to count or verify components
- Quality teams dealing with customer complaints about visual defects
Industries where this service comes up most:
09Frequently asked questions
How much does an AI visual inspection system for a production line cost?
Every project is quoted after a free assessment, based on scope, volume and the systems involved. You get a fixed-price proposal in writing before any work starts.
How long does a visual inspection project take?
The pilot takes 6 to 12 weeks. Typical scope: one defect type at one inspection station.
How many images are needed?
It depends on the defect; the feasibility study measures that with real images before the project.
Do we have to stop the line to install it?
Usually not: image collection and testing happen while the line runs, and the PLC integration is done during a planned stop.
Who builds it
Osney A. de Souza
AI engineer · Joinville, Brazil
Five years of software development and AI systems in production. The person who handles your project is the one who designs it and writes the code.
- Runs an AI-assisted audit platform in production, backed by thousands of automated tests
- License plate recognition with deep learning for large-scale video monitoring
- Software Engineering student (Univille, expected 2027)
Free assessment
Let's see if this fits your case
Tell us how the process works today, the rough volume and the systems involved. If it makes sense, you'll get a pilot proposal with scope, timeline and metrics.
Send an emailjuniorthesouza017@gmail.com
Message on WhatsApp(47) 98864-2296
Tell us about the process, the rough volume and the systems involved. You'll hear back from the engineer who would build it.
Related services
Parking gate and barrier automation
Ticketless entry and exit: the plate is read at the barrier, with digital payment, monthly parkers and reports.
OCR and computer vision for ports, terminals and yards
Container (ISO 6346), plate, seal and damage capture at the gate, integrated with the terminal system.