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.