AI visual inspection · Made in India

Zero-defect manufacturing, seen by AI.

DeepVision finds defects, measures parts, counts units and reads labels at line speed. It runs on our cameras and edge hardware and sends its verdict straight to your PLC, from the press shop to the loading dock.

Explore the DeepVision platform →
Illustration of DeepVision inspecting parts: finding a crack, measuring hole pitch, counting cartons and reading a label CAM 01 · STATION 3 ● LIVE · EDGE CRACK · 0.98 84.20 mm ✓ Ø 12.02 ✓ 12 / 12 LOT B2417MFG 09/2026EXP 08/2028MRP ₹249.00 READ · MATCHED TO SKU B2417 ✓09/2026 ✓08/2028 ✓₹249.00 ✓8 901234 56789 0 ✓
NG · REJECT Crack detected on flange < 100 ms → PLC
Deep Anomaly Finds cracks, dents, scratches, missing parts and print defects by learning what a good part looks like. Detection up to 99%

On production lines and docks at

Maruti Suzuki Ashok Leyland Isuzu ABB Amazon Hindustan Unilever Tata Consumer Products Coca-Cola Kellanova Parrys
DeepVision in action

From 30 sample images to a running line.

A real recording of DeepVision Studio: trained on 20 good and 10 bad images, deployed to a hardware-triggered camera, then inspecting part after part with each defect outlined.

Recorded in DeepVision Studio with sample parts, sped up in places. User names and camera serials hidden.
30training images
68 msaverage per part
Turnkey systems

From the production line to the loading dock.

We design, build and commission the whole system: mechanics, cameras, lighting, edge computer and software. One vendor answers for all of it.

Also built to order: multi-camera systems for large parts. See the case studies →

Industrial camera inspecting a machined part, with a defect heat map

Camera, lighting and edge AI at any station on the line.

  • Reject signal to your PLC on every part
  • Stamping, castings, labels, seals, PCBs, tablets
  • Every decision stored with its image
Explore DeepVision
Concept render of a car passing through a camera inspection tunnel

Gap and flush on every car, measured while it moves.

  • 3D drive-through arch, no stop and no fixture
  • 3.46 × 2.55 m clear opening for cars, SUVs and MPVs
  • Every reading filed against the vehicle ID
DeepVision Tunnel
Camera arch over a warehouse loading conveyor

Every carton tallied against the shipment as the truck loads.

  • Ordered vs loaded for every carton code
  • Unknown cartons held for an admin to assign
  • Optional truck fill by volume
Dock tally
Rack camera view with boxes, pallets and bin labels detected

Box counts on every bin, without a manual stock count.

  • Front and top views of both racks in one pass
  • Auditor approves or corrects each bin
  • Reconciliation against your master, as CSV
Rack audit
One system, one team

Cameras, edge computer and software, built to work together.

Images are processed at the station. The verdict goes to your PLC and the record to your systems. Nothing has to leave the plant.

How it works

Camera to reject gate in under 100 ms.

Cameras and lighting feed an edge computer running DeepVision, which sends a pass or fail to the PLC, records to MES, ERP and SCADA, and results to dashboards GigE camerasarea · line scan · 3D Lightingdiffuse · structured Trigger & sensorsencoder · barcode DeepVisionedge computerpass · fail · why PLCreject · stop · sort MES · SCADAERP · REST · MQTT DashboardsSPC · reports · images ON YOUR NETWORK · NO CLOUD REQUIRED
Two IndusVision industrial GigE Vision cameras
IV-GE series

Industrial GigE Vision cameras

  • 0.4–20 MPSony sensors, global shutter
  • Line scanup to 1,100+ PPM
  • SWIRmoisture, through plastic
Camera range →

Edge-native

Decisions at the station in milliseconds. It works without internet, and images stay in your plant.

Fits your line

Siemens S7Allen-BradleyMitsubishiMESSCADARESTMQTT
Software

Set up, train and run every station

  • IndusVision SDKEdge agent for real-time inspection, Windows or Ubuntu
  • Camera configuration toolSet up and calibrate cameras without code
  • Dashboards & reportsEvery decision with image, class and confidence, multi-line and multi-plant
Downloads & support →

One accountable vendor

Mechanics, optics, lighting, compute and software from one team.

Made in India

Engineered in Bengaluru, priced for Indian plants, with engineers close to your line.

Industries

Built for the toughest quality standards.

A single defective stamping or weld can trigger a recall. DeepVision checks parts at press speed, and the tunnel checks finished vehicles.

  • Stamping cracks, burrs and dimensions
  • Weld, casting and assembly checks
  • Gap and flush on finished vehicles
AI inspection for automotive →

Lines running hundreds of units a minute can't be inspected by hand. DeepVision checks every unit at full conveyor speed.

  • Labels, seals and caps at line speed
  • Fill level and date-code checks
  • Carton counts at dispatch
AI inspection for FMCG →

Every decision is logged with its image, defect class and confidence, giving a full audit trail for GMP review.

  • Tablets, capsules, vials and blisters
  • Label and barcode verification
  • Packaging integrity and print quality
AI inspection for pharma →

Learns new board designs from images instead of days of rule programming, with far fewer false calls than rule-based AOI.

  • Solder bridges and cold joints
  • Component presence and orientation
  • Connectors, cables and displays
AI inspection for electronics →

From scratches on flat steel to full-surface inspection of 2.4 m boards with a 10-camera array.

  • Surface scratches on flat steel
  • Hole, bolt and perimeter checks on sheets
  • Full-surface inspection of large panels
Metals and board case studies →

The same vision platform at the dock and in the racks: what went on the truck, and what's on every bin.

  • Carton tally on loading and unloading
  • Truck utilisation by volume
  • Bin-level rack audits
Warehouse solutions →
Questions

What plant heads ask first.

What is AI visual inspection?

Cameras photograph every unit and a trained model decides whether it's good, measures it, counts it or reads its print, on every unit and every shift. DeepVision then tells your PLC what to do with the part.

How many images do you need to get started?

In the DeepVision Studio recording above, the model was trained on 20 good and 10 bad images. Our published production deployments used roughly 1,800 to 2,400, and measurement jobs can start from as few as ten reference images.

Does it need the internet or the cloud?

No. Inspection runs on an edge computer at the station, so decisions take milliseconds and images stay inside your plant.

Will it work with our PLC and MES?

Yes. DeepVision connects to Siemens, Allen-Bradley and Mitsubishi PLCs and to MES and SCADA systems, typically without modifying the line.

How long does a deployment take?

Days to weeks. Our FMCG packaging deployment went live on day 7, and the Pune stamping plant had a working pilot within 14 days, followed by a parallel validation run.

How accurate is it, and how do you know?

Published deployments show 97–99.5% detection with under 1% false positives, measured with a baseline study, a parallel run and human ground truth.

Free demo

Show us the defect that keeps escaping.

Bring a part, a photo or a line problem. We'll show you how DeepVision would catch it, and what it would take to run it on your line.

Book a free demo Or write to info@indusvision.ai · Bengaluru, India
  1. 01Feasibility on your partsSamples or a line visit; we confirm cameras, lighting and placement.
  2. 02Pilot in daysTrained on your images. Committed in 14 days for the Pune stamping plant.
  3. 03ValidateA parallel run of two weeks or more against your inspectors.
  4. 04ScaleEvery line and plant from one console, retrained as products change.
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