Insightek.ai
Comparison

Insightek vs Traditional Machine Vision

Rule-based machine vision still wins on micrometer gauging and ten-thousand-PPM line speeds. It loses the day a new SKU drops, the lighting shifts, or text on the label changes. Here's where each one belongs — measured, not asserted.

Traditional MV

Traditional Machine Vision

Cognex, Keyence, Halcon, DALSA — rule-engine pipelines tuned to one fixture, one product, one lighting condition.

Insightek

Insightek

A visual-foundation-model Agent that learns from OK samples and tolerates variation that breaks pixel-rule systems.

Where traditional MV is still the right answer

We will tell a customer to stay on Cognex or Keyence if any of the following hold. We do not chase wins where we cannot deliver a better outcome.

  • Cycle time below 60 ms with a single feature to verify
  • Sub-pixel metrology where you need a calibrated lens and a telecentric optic
  • A frozen product that has not changed SKU in 5+ years
  • A high-volume semiconductor line where every tenth of a percent of yield is contractually owned by another vendor

Where Insightek changes the cost curve

These are the conditions where rule-based MV runs into either weeks of re-tuning or a "we can't cover that" answer from the integrator.

  • High-mix / low-volume lines — frequent SKU changes, new variants every quarter
  • Inspection items that depend on label text, copy, or version numbers
  • Assembly verification across many small components (screws, capacitors, LEDs, connectors)
  • Surface defects on reflective, textured, or low-contrast materials
  • Sites with no in-house MV engineer — line operators must own the workflow

Capability matrix

No ★★★★★ ratings. Each row is a concrete statement we will defend in a paid POC.

Setup & deployment

Criterion Traditional MV Insightek Where it lands
How a new SKU comes online Engineer writes / tunes rules, thresholds, ROIs Operator photographs OK samples and confirms once Insightek
Lines of code per new product Hundreds, typically owned by integrator Zero — registration is a UI workflow Insightek
Time to first OK / NG Weeks to months (project mode) Hours to days for the first SKU; minutes per subsequent SKU Insightek
On-site engineer needed during ramp Yes — vision specialist + integrator No — line operator with a phone-grade camera in many setups Insightek

Robustness

Criterion Traditional MV Insightek Where it lands
Lighting / reflection / texture variance Sensitive — most field failures live here Tolerant — model treats variation as semantic noise Insightek
Label text / copy / version checks OCR add-on with brittle templates Native — the model reads context, not glyphs Insightek
Sub-pixel dimensional gauging Excellent (this is the home court) Not the right tool — pair with a metrology vendor Depends
Hard real-time at sub-60 ms cycle Yes, with proper hardware Yes — edge inference returns OK/NG to PLC within takt Tie

Total cost & change management

Criterion Traditional MV Insightek Where it lands
Cost to add a new defect class New project, new rules Add OK / NG samples, retrain in place Insightek
Migration when integrator changes Vendor-locked rule logic Data and models stay in your factory, exportable Insightek
Data sovereignty Local — but typically tied to vendor hardware Fully on-premise; works on the cameras you already own Insightek
Public price Quote-only across all major vendors Quote-only — scoped after a 30-minute discovery call Tie

Migrating off a rule-based system

You do not have to throw away your Cognex / Keyence cameras. In most deployments we reuse the existing stations.

  1. 01

    1 · Inventory existing stations

    List the inspection items currently handled by rules. Tag each one as "stable / works" or "frequent re-tune / blind spot."

  2. 02

    2 · Reuse the cameras

    Insightek pulls frames from the cameras you already have via standard interfaces (GigE Vision, USB3 Vision, RTSP). No re-procurement required.

  3. 03

    3 · Replace only the painful items

    Move the high-churn or blind-spot inspections to Insightek first. Leave the stable gauging stations on the existing system.

  4. 04

    4 · Result handoff to PLC stays identical

    OK / NG signals to the line PLC follow the same digital I/O pattern the line is already wired for.

Frequently asked

Do you replace our Cognex / Keyence cameras?
Usually no. We pull frames from the cameras you already have and run inference on an edge box. The replacement is the logic layer, not the optics.
How do you prove the accuracy claim before a purchase?
We run a paid POC on your real product. The deliverable includes a methodology report — dataset, test protocol, hardware, and how each number was measured. Numbers without methodology are not numbers we publish.
What happens when the model is wrong?
Every flagged item is reviewable in the UI. Misclassifications go into a queue your engineer signs off on — those samples retrain the model in place, with full audit trail.
Is this another cloud AI service?
No. Both products run fully on-premise. Images, video, and structured data never cross your network boundary unless you configure them to.

Bring your hardest inspection item.

A 30-minute scoping call. We will tell you honestly whether Insightek beats your current MV system on the item you bring — or whether you should stay where you are.