Visual AI SOP: Frequently Asked Questions
These are the questions manufacturing teams actually ask us, grouped into four categories: whether it can be installed, how accurate it is, what it costs and how it integrates. If your question is not covered here, contact us directly.
If you can only ask one question, most customers ask this one: will this actually install on our line, and once it is running, will it be accurate? The answers below are grouped into deployment, accuracy, cost and integration, and the technical detail sits in the Visual AI SOP System pages. If your situation is not covered, contact us with your scenario.
1. Can it be installed, and how
Deployment
Does installing a Visual AI SOP system require stopping the line?
No. Cameras and edge devices are bypass equipment; installation and calibration can be done during changeovers, planned downtime or the night shift. Your normal production rhythm is not affected.
Do we need to rewrite the PLC or the machine programs?
No. The system runs in bypass mode: it takes images from the camera and makes judgements at the edge, without touching the equipment control logic. If you need interaction with the machine — to block or release a part, for example — that is normally done through an independent signal or a link to the host controller.
The workstation space is very tight. Will it fit?
An all-in-one smart camera is roughly the size of an ordinary industrial camera and needs no separate industrial PC. If space is extremely limited, the camera can be mounted at the upstream or downstream station instead.
Can it cope with a harsh shop floor — dust, oil mist, moisture, heat?
It depends on selecting an enclosure and lens protection rated for the environment. During the solution phase we survey the site and verify image quality first, and only proceed once that is confirmed.
How many units does one line need, and how long does a full rollout take?
That depends on how many workstations need monitoring; usually only the critical process stations are covered. A single-workstation pilot takes one to two weeks, and in the replication phase each additional workstation takes noticeably less time.
2. How accurate is it, and how many false alarms
Recognition accuracy
What accuracy can we expect?
Accuracy depends heavily on the specific scene, so a single universal number would be meaningless. Our approach is to measure it during the pilot using real data from your line and produce a validation report covering both false alarm and miss rates, so the decision is made on numbers rather than on a claim.
Will false alarms be so frequent that the shop floor just switches the system off?
That is the most common real-world failure mode in this industry, and it is where we put the most design effort. The measures are per-workstation threshold calibration, consecutive-frame confirmation, a whitelist of non-standard actions and running in monitor-only mode at the start. We would rather miss something early than create alarm fatigue on the line.
Will an operator's non-standard posture affect the judgement?
The judgement target is whether the operation was completed and the part is in place — not whether the movement looked textbook. Personal technique does not change a presence check, though it can slightly move the confidence value, which threshold tuning covers.
Will lighting changes, shift changes, or day and night affect it?
They can, which is why the solution normally uses stable artificial lighting instead of relying on daylight, and exposure is calibrated for different times of day to keep imaging consistent.
Can it tell very similar parts apart, such as screws of nearly the same size?
That depends on whether the imaging resolution can resolve the difference. Where the difference is not visible, the result can be cross-checked against other signals such as the screwdriver torque setting or the position of the parts tray.
3. What it costs, and what it returns
Cost and return
How should we calculate the return so that it is convincing?
Use after-sales repair data as the baseline: count the annual number of units or batches returned for faults linked to the target workstation, multiply by the fully loaded cost of one repair, and you have the yearly loss. Compare that with the deployment and maintenance cost — this is the calculation management accepts most readily.
What are the main cost components?
Typically hardware (cameras, lenses, lighting, edge computing devices), software licensing, on-site implementation and model adaptation, and ongoing support. Differences in hardware configuration between scenes are the main variable.
Are there recurring fees?
The system itself runs locally at your site and does not depend on a cloud subscription. Ongoing cost is mainly optional support, spare parts, and the adaptation work when you add workstations or new scenes.
Can we start with a small pilot before committing?
That is our standard approach. We recommend piloting one high-value workstation, validating the result with real data, and only then replicating to the other stations.
4. How it connects to existing systems
System integration
Can it integrate with MES, QMS or ERP?
Yes. There are three channels — direct database writes, HTTP interfaces and message queues — and the choice depends on how open your existing systems are. We do not alter the table schemas of your existing systems.
Can it coexist with our existing AOI and vision inspection equipment?
Yes, because the two answer different questions. AOI decides whether the product is acceptable; visual SOP decides whether the work was performed correctly. Most customers run both, and the data can be joined at that level.
Where is the data stored, and is anything uploaded to the internet?
Recognition and data storage both happen on your premises, and production images are not uploaded to the public internet by default. Remote support transmits only status and logs, never production images.
Does it record operator personal data?
By default it records workstation and process data only, not linked to personal identity. Whether to link it is your decision, and retention periods and access rights for any footage of people are agreed during the solution phase.
Did not find the answer you needed?
Tell us about your workstation and the process problem, and we will give you a specific assessment.