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Technologies / Artificial Intelligence

Computer vision in business applications

Practical training in the implementation of computer vision solutions for image and video analysis in a business context. The program covers quality control, document analysis and infrastructure monitoring using advanced computer vision techniques. The workshop focuses on real-world applications and production-ready implementations. The project-based methodology provides hands-on experience with complete computer vision processing pipelines.

Issues

  • Computer vision

  • Convolutional neural networks

  • Image processing

  • Object detection

  • Quality inspection

  • OCR technology

  • Document analysis

  • Video analytics

  • Anomaly detection

  • Transfer learning

  • Implementing models

  • Real-time processing

Benefits

  • Implementation of computer vision solutions will provide automation of manual quality control processes
  • Real-time monitoring capabilities will enable proactive maintenance and safety management
  • Document processing automation will reduce handling time and human error rates
  • Defect detection systems will improve product quality and reduce production losses
  • Custom vision models will provide tailored solutions for specific business requirements
  • Manufacturing deployment expertise will facilitate scaling of computer vision applications
  • Technical proficiency in AI vision will open opportunities in a highly sought-after field

Who is this training for?

AI engineers
Automation specialists
Computer vision engineers
Machine learning engineers
Industrial automation specialists
Quality assurance engineers
Data scientists (focus on vision)
Technical consultants

Prerequisites

  • Experience in Python programming and basic computer vision libraries
  • Familiarity with machine learning concepts and neural networks
  • Ability to work with image data and pre-processing techniques
  • Basic knowledge of industrial processes or document management systems

Training program

01

basics of computer vision

  • Image processing techniques
  • Feature extraction methods
  • Convolutional neural networks
  • Transfer learning approaches
02

quality control and defect detection

  • Automatic quality inspection
  • Detecting anomalies in production
  • Statistical process control
  • Real-time monitoring systems
03

document analysis and OCR

  • Analysis of document layout
  • Text recognition and extraction
  • Automation of forms processing
  • Support for multilingual documents
04

Infrastructure monitoring

  • Video analytics for security
  • Predictive maintenance applications
  • Environmental monitoring
  • Automation of security compliance

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Computer vision in business applications we recommend: Experience in Python programming and basic computer vision libraries; Familiarity with machine learning concepts and neural networks; Ability to work with image data and pre-processing techniques.

What is the format and duration of this training?

The training lasts 3 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: AI engineers; Automation specialists; Computer vision engineers.

Kamil Gabryszewski
Kamil Gabryszewski Opiekun szkolenia

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Funding Options

Check funding options for your company

Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

Check availability
Up to 100%

National Training Fund

Up to 100% funding for employers

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Trusted by

We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

Interested in this training?

Contact us - we'll prepare an offer tailored to your organization's needs.

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