Industrial OCR

Industrial OCR is a text-scanning technology made for factories, warehouses and other industrial facilities

While regular OCR reads text from documents, Industrial OCR operates in much harsher conditions — such as dim lighting, dusty areas, shaking machinery or high-speed conveyor belts — while maintaining both speed and accuracy.

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Utility Meter Readings

OCR Studio delivers industrial-grade scanning for:

OCR Studio delivers industrial-grade scanning for
ANPR (Automatic Number Plate Recognition) VIN (Vehicle Identification Number) Utility meter readings Shipping container IDs Shipping container seals
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OCR Studio delivers industrial-grade scanning for

Custom Solution

We can customize our recognition system for any objects specific to your business

— for example, serial numbers on electronic components and machinery, tire sidewall markings for tracking and quality control, railway wagon codes for logistics and maintenance or safety labels and compliance markings in hazardous environments.

Please share details about your requirements and we'll develop a tailored technology solution for you.

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ANPR (Automatic Number Plate Recognition)

Universal license plate recognition system is a technology that uses OCR and AI to automatically detect and read vehicle license plates from images or video streams. It captures plate data in real time, even at high speeds or in low-light conditions, enabling applications like toll collection, parking management, law enforcement and traffic monitoring.

ANPR (Automatic Number Plate Recognition) anpr
  • We can customize recognition for license plates from any country
  • Our technology recognizes license plates on all vehicle types: passenger cars, trucks, motorcycles, tractors, trailers
  • The AI processes data from mobile, stationary and smart cameras in video streams
  • The AI reads plates from any angle (even extreme perspectives)
  • Performs reliably in poor visibility: rain, snow, low light
  • Decodes even heavily damaged/dirty plates (rusted, faded or obscured)
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VIN (Vehicle Identification Number)

OCR Studio offers technology for fast and accurate recognition of VINs – unique 17-digit codes containing key details about a vehicle's make, model, year and manufacturing history. Our AI-powered system instantly scans and deciphers VINs from dashboards, stickers or documents even in challenging conditions like poor lighting or damaged surfaces. This enables automated vehicle registration, efficient dealership inventory management and reliable anti-fraud verification across the automotive industry.  

VIN (Vehicle Identification Number)
  • Scanning of VIN numbers for all car makes and models on any part of the vehicle — windshield, body panels and other components
  • Easy low-code integration across platforms – mobile, desktop, server and web apps
  • Integrated VIN standard compliance check
  • Reliable VIN recognition from any angle – in both photos and video streams
  • Consistent operation under challenging conditions (dim lighting, adverse weather)
  • Technology supports all VIN marking types: stamped, punched, printed
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Utility Meter Readings

Utility meter readings involve capturing data from electricity, water or gas meters to track consumption and generate accurate bills. OCR Studio automates this process with smart meter reading technology, instantly recognizing digits and dial positions – even on old or weathered meters – eliminating manual errors. This enables utilities to streamline billing, detect leaks/fraud and help customers simplify routine tasks.

Utility Meter Readings Utility Meter Readings
  • Meter data input for water, electricity, gas and heating utilities
  • The AI reads values from both mechanical and digital meters of all types and models
  • The technology operates independently of meter location: under sinks, in utility closets or building hallways
  • Works flawlessly in any conditions: poor light, angled views or rotated meters
  • Supports video streams and single images
  • Mobile integration capability – both in-app and browser-based
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Shipping Container IDs

Shipping container IDs are unique alphanumeric codes printed on cargo containers for global tracking across ports, ships and trucks. OCR Studio's AI-powered scanning instantly recognizes these codes even when faded, damaged or at awkward angles, automating logistics documentation and reducing human errors. This technology speeds up port operations, improves customs clearance accuracy and helps prevent container mismanagement during transit.

Shipping Container IDs
  • Real-time recognition of ISO 6346 - compliant container numbers
  • Works with any container – regardless of type, marking techniques and color variations
  • Full-container scanning: identifies numbers on sides, doors & roof
  • Performs consistently under poor visibility and achieves multi-angle recognition
  • Powered by AI to recognize even extremely dirty or faded numbers
  • Supports integration via stationary cameras, mobile devices and data collection terminals
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Easy integration into any information system

Here’s how to scan barcode using our SDK

# Python
engine_instance = ocrstudiosdk.OCRStudioSDKInstance.CreateFromPath(<PATH_TO_CONFIGURATION_FILE>)
session = engine_instance.CreateSession(
  <SIGNATURE>,
  "{\"session_type\": \"document_recognition\", \"target_group_type\": \"default\", \"target_masks\": \"shipping_container\"}"
)
image = ocrstudiosdk.OCRStudioSDKImage.CreateFromFile(<PATH_TO_IMAGE>)
session.ProcessImage(image)

result = session.CurrentResult()
target = result.TargetByIndex(0)
item_it = target.ItemsBegin('string')
while not item_it.IsEqualTo(target.ItemsEnd('string')):
  name = item_it.Item().Name()
  value = item_it.Item().Value()
  item_it.Step()

// Java
OCRStudioSDKInstance engine_instance = OCRStudioSDKInstance.CreateFromPath(<PATH_TO_CONFIGURATION_FILE>);
OCRStudioSDKSession session = engine_instance.CreateSession(<SIGNATURE>,
  "{\"session_type\": \"document_recognition\", \"target_group_type\": \"default\", \"target_masks\": \"shipping_container\"}");
OCRStudioSDKImage image = OCRStudioSDKImage.CreateFromFile(<PATH_TO_IMAGE>);
session.ProcessImage(image);
OCRStudioSDKResult result = session.CurrentResult();
OCRStudioSDKTarget target = result.TargetByIndex(0);
for (OCRStudioSDKItemIterator item_it = target.ItemsBegin("string"); !item_it.IsEqualTo(target.ItemsEnd("string")); item_it.Step()) {
  String name = item_it.Item().Name();
  String value = item_it.Item().Value();
  }

// C#
ocrstudio.OCRStudioSDKInstance engine_instance = ocrstudio.OCRStudioSDKInstance.CreateFromPath(<PATH_TO_CONFIGURATION_FILE>);
ocrstudio.OCRStudioSDKSession session = engine_instance.CreateSession(<SIGNATURE>,
  "{\"session_type\": \"document_recognition\", \"target_group_type\": \"default\", \"target_masks\": \"shipping_container\"}");
ocrstudio.OCRStudioSDKImage image = ocrstudio.OCRStudioSDKImage.CreateFromFile(<PATH_TO_IMAGE>);
session.ProcessImage(image);

ocrstudio.OCRStudioSDKResult result = session.CurrentResult();
ocrstudio.OCRStudioSDKTarget target = result.TargetByIndex(0);
for (OCRStudioSDKItemIterator item_it = target.ItemsBegin("string"); !item_it.IsEqualTo(target.ItemsEnd("string")); item_it.Step()) {
  String name = item_it.Item().Name();
  String value = item_it.Item().Value();
  }

// C++
std::unique_ptr<ocrstudio::OCRStudioSDKInstance> engine_instance(ocrstudio::OCRStudioSDKInstance::CreateFromPath(<PATH_TO_CONFIGURATION_FILE>));
std::unique_ptr<ocrstudio::OCRStudioSDKSession> session(engine_instance->CreateSession(<SIGNATURE>,
  "{\"session_type\": \"document_recognition\", \"target_group_type\": \"default\", \"target_masks\": \"shipping_container\"}"));
std::unique_ptr<ocrstudio::OCRStudioSDKImage> image(ocrstudio::OCRStudioSDKImage::CreateFromFile(<PATH_TO_IMAGE>));
session->ProcessImage(*image);
const ocrstudio::OCRStudioSDKResult& result = session->CurrentResult();
const ocrstudio::OCRStudioSDKTarget& target = result.TargetByIndex(0);
for (auto item_it = target.ItemsBegin("string"); item_it != target.ItemsEnd("string"); item_it.Step()) {
  string name = item_it.Item().Name();
  string value = item_it.Item().Value();
  }

Example output

control_digit: 2
number: 179040
owner: SUDU
size_type: 22G1
For more information, please visit Developer section

Shipping Container Seals

Shipping container seals are tamper-proof security devices with unique identification numbers that ensure cargo integrity during transit. OCR Studio's automated container seal recognition instantly scans these codes without manual entry, even when seals are dirty, scratched, or partially obscured. This eliminates documentation errors, speeds up inspections at ports, and helps detect potential tampering or fraud in global supply chains.

Shipping Container Seals Shipping Container seals
  • Scanning of engravings on both the rod and body of ISO 17712 - compliant security seals
  • The AI-based system recognizes all types of container seals - regardless of form, size or material
  • Universal use cases: seaports, river ports, rail terminals, warehouses and logistics centers
  • On-premise solution recognizes in challenging conditions: low light, dust or extreme camera angles
  • Works with all inputs – scans, photos or videos, even with shadows or reflections
  • The system is deployable across browsers, servers and edge devices (mobile/tablet compatible)
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sales@ocrstudio.ai

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