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· Nº 06 — Industrial AI

VIGIL. — Industrial Vision Inspector: Catch defective units on high-speed conveyors before they ship.

Industrial Vision Inspector

Catch defective units on high-speed conveyors before they ship.

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SYS_02
The Studio · VIGIL
EVERY UNIT INSPECTED ON-DEVICE · REJECT I/O → PLC

· 001 — In short

A camera and an edge computer over your conveyor inspect every unit, not a sample. Nothing leaves the factory floor, and bad parts are pushed off the line automatically.

NoteComputer vision is earlier work that we still deliver on request. Our current focus is Malayalam language AI. See our research →

Spec sheet4 specs

Inspection
Every unit, on-device
Cameras
GigE / USB3 Vision
PLC logic
Modbus / OPC UA / digital I/O
Data boundary
Air-gapped, on-prem

· 002 — What it does

  1. 01

    On-Device Defect Catch

    Runs customized TensorRT-optimized convolutional neural networks directly on edge GPU hardware. Detects surface scratches, paint voids, misprints, and dimension flaws on every unit.

  2. 02

    100% Air-Gapped Operation

    All vision compute executes locally. No images, telemetry, or production count data ever leaves your factory floor or traverses the public internet.

  3. 03

    Direct PLC & Reject Actuation

    Integrates with your existing sorting actuators, pneumatic reject kickers, and industrial PLCs via standard digital I/O and industrial protocols (Modbus, OPC UA).

  4. 04

    Live Yield & Shift Analytics

    Provides plant supervisors with real-time defect heatmaps, shift-by-shift yield percentages, and predictive warnings when a specific machine begins producing flaws.

· 003 — Next step · Industrial pilot

Validate Vigil on your factory line in 14 days.

We bring edge hardware to your facility, calibrate cameras for your specific product materials, and run a 2-week validation benchmark side-by-side with your manual inspectors.

Request a factory pilot

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