Manufacturing and food
Quality inspection, presence and position of components, in-line counting, label verification and detection of surface defects.
Computer vision
Auren VisionComputer vision and automated inspection with the cameras you already have
In plants and warehouses there's information nobody is capturing that the cameras are already seeing. Vision turns it into data: counting, quality inspection, compliance and safety.
- Deliverable
- Vision system in operation
- Typical length
- Proof of concept in 3 to 6 weeks
- Stage
- Computer vision
We start with the infrastructure you already have. In most cases there's no need to replace cameras: what's needed is to process what they record properly.
First we define which decision will change with that information. A system that detects defects but doesn't warn anyone in time is useless.
When it makes sense
- Quality inspection depends on each shift's judgment
- Counting or inventory is done by hand, with discrepancies
- You need evidence of compliance in the operation
- You already have cameras installed that are only used for recording
01 — How we work
Computer vision for inspection and control, step by step.
- 01
Defining the decision
Before looking at images we define which decision will change: stopping a line, rejecting a lot, alerting a supervisor. A system that detects and tells no one changes nothing.
- 02
Feasibility with real images
We assess with material from your operation, not lab samples. Lighting, angle, line speed and product variability decide whether the case is viable before you invest.
- 03
Measured proof of concept
We build a scoped pilot and measure its accuracy against human inspection. The comparison is explicit: what it detects, what it misses and under which conditions it fails.
- 04
Integration with the operation
We connect the result to what you already use: an alert to the supervisor, a record in the quality system, a shift dashboard or a line stop. This is where the pilot becomes a tool.
- 05
Model maintenance
Products change, cameras get moved and the light in the plant isn't the same in January as in July. We leave a recalibration plan and monitoring for model drift.
02 — What it includes
- 01Feasibility assessment with real images from your operation
- 02A measured proof of concept before committing the investment
- 03A vision model tuned to your product and conditions
- 04Integration with the operation: alerts, dashboards or line stops
- 05A plan to maintain the model over time
03 — What you keep
- Consistent inspection criteria across shifts and people
- Operational data that didn't exist before
- Early detection instead of late findings
04 — Where it applies
Which sectors is Auren Vision for?
The method doesn't change between sectors; the friction does. This is what the service looks like depending on where it's applied.
Warehouses and logistics
License-plate reading at the gate, pallet counting, load verification and visual evidence tied to each dispatch.
Plant safety and compliance
Use of protective equipment, occupancy of restricted areas and automatic reading of analog meters that someone writes down on a sheet today.
05 — What we measure
How the result is proven.
They're agreed at the start, with the baseline taken before touching anything. Without a measured starting point there's no way to prove the result afterwards.
- Model accuracy against human inspection, measured in your operation
- Coverage: share of parts or events inspected versus current sampling
- Time between the defect and the alert to whoever can fix it
- Variability of criteria between shifts, before and after
06 — Frequently asked questions
What people ask before hiring Auren Vision.
- Do I need to buy new cameras?
- In most cases, no. We start by assessing what's installed; sometimes relocating a camera or improving the lighting is enough, which is far cheaper than replacing the whole set. If hardware is needed, we say so with the feasibility assessment in hand.
- How accurate is it compared to a person?
- It depends on the case, which is why the pilot is measured before committing investment. In repetitive tasks with stable criteria it usually beats human inspection sustained over time, especially at the end of a shift; in tasks with complex criteria it works better as support than as a replacement.
- Do the images leave my company?
- That's defined at design time. Some cases run entirely on your network, with no video leaving the plant. When the cloud is used, we explicitly agree on what is sent, how long it's retained and who has access.
- What happens if the product or the line changes?
- The model is retrained with material from the new product. That work is estimated from the start: a vision system isn't a one-time purchase, it's a capability that gets maintained.
- How long until I know whether my case is viable?
- The feasibility assessment takes days, not months, because it's done with images you already have. The measured proof of concept takes three to six weeks, and that's where the decision to scale —or not— comes from.
07 — Within the Auren system
What comes after Auren Vision.
Next step
Auren Transform
Executing the plan in increments, while supporting the teams that will use the solution.
Let's talk about whether Auren Vision is what your company needs.
A first, no-commitment conversation. If your problem is solved by another service —or without technology— we'll tell you that too.
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