Digital

Vision

Solutions

Digital Vision Solutions provides innovative solutions in the areas of artificial intelligence and computer vision

The Rise of Machine Vision

Over the past years, we have seen unparalleled levels of development in artificial intelligence, robotic process automation and computer vision.

Impressive growth of mobile computing and advances in neural networks research bring new opportunities for automation in increasingly competitive markets.

Employing the very latest techniques for image and video recognition, we offer automation products to several major industries.

Product-counting engine

Monitor the production line in real time

Digital Vision Solutions helps count produced items and control their quality to streamline your business.

Cost Efficiency

Install a camera once and watch detections around the clock

Identification

Detect quality and types of produced items to track stocks

Flexible business model

SaaS or offline software licensing to fit your unique case

Data-gathering engine

We identify alphanumerical data from mobile images

Digital Vision Solutions helps you detect and interpret data from a mobile device

Mobile and distributed

Gather data from multiple workers with a small phone app

Crossplatform

Oversee interpreted results from Windows, MacOs, IOS, Android, Linux

Built to scale

Grow and adapt the product to new use cases on the fly

How we work

Phase 1

Problem identification by the customer.


Duration: 1 week 1 month

Phase 3

Data preparation (capturing, annotation of data).

Duration: 1-3 weeks

Phase 5

Preparation of a demo solving customer's problem.

Duration: 1-2 weeks.

Phase 2

Setting up a video surveillance system: choosing and installing IP video cameras.

Duration: 1-3 days

Phase 4

Image recognition via convolutional neural networks (CNN) training.


Duration: 2-3 weeks

Phase 6

Presentation and delivery of final results (cloud-based service or algorithm).

Duration: 3 days 1 week.

Phase 1

Problem identification by the customer.


Duration: 1 week 1 month

Phase 2

Setting up a video surveillance system: choosing and installing IP video cameras.

Duration: 1-3 days

Phase 3

Data preparation (capturing, annotation of data).

Duration: 1-3 weeks

Phase 4

Image recognition via convolutional neural networks (CNN) training.


Duration: 2-3 weeks

Phase 5

Preparation of a demo solving customer's problem.

Duration: 1-2 weeks.

Phase 6

Presentation and delivery of final results (cloud-based service or algorithm).

Duration: 3 days 1 week.

Our team

We are a team of experts in image processing, data science, robotics, software development and project management.

Working with us means drawing on the experience and expertise of 5 professionals with cumulative experience of 12+ years, alumni of the Moscow State University, Moscow Institute of Physics and Technology, Nizhny Novgorod State Technical University.

With 2 years of successful track record and several projects under our belt, we have learned to employ a large number of outsource staff to streamline every step of the production process.