Computer Vision – NEUROSYS

Advanced Computer Vision Services for Startups

Extract meaningful information from images and videos with our tailored made models.

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NEUROSYS in numbers

Of our Clients are satisfied with the back-end services we provide

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Successful projects we deployed

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Of our backend development team are senior-level engineers

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Talented professionals in the team

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Countries our activity area covers

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Years on the market

SOLUTIONS

NEUROSYS Computer Vision Services

Computer Vision Application Processing Services

Image Recognition
Object Detection
Face Recognition
Video Recognition

Image Recognition use cases

Analysis of satellite, aerial/drone, remote sensing or hyperspectral imaging for land cover detection, environment conservation, livestock monitoring, urban or agricultural development
Medical diagnosis and prediction via x-ray, EKG and MRI imaging processing
Safety monitoring systems that analyse body scanner/metal detector imaging in correctional facilities to detect smuggling.

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Object Detection use cases

Detection of production issues or defects in manufacturing
Automation of visual inspections of equipment or buildings
Warehousing automation and inventory assessments
Characterising different production stages in the pharmaceutical industry
Crowd counting in public spaces as well as tools to guarantee that a minimum distance is respected when required
Workplace safety/PPE monitoring tools

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Face Recognition use cases

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Video Recognition use cases

Human Activity Recognition tools can be used to assess what activities a person is carrying out and are used in security systems, sport and health surveillance, medical and disability assistance, gaming and human-computer interaction, retail theft prevention.
Visual speech recognition
Facial and micro expressions recognition

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How we work?

Mapping the problem

Working closely with your company, we will identify the key areas where AI can bring the most value. This involves meetings with all stakeholders and developing a roadmap for action together.
Data exploration and proof of concept

We will evaluate if you have the business data needed to train relevant machine learning models. If required, we identify additional frameworks for data collection in your company.
Proposal for deliverables

Based on our meetings and data analysis, we’ll share with you the possible AI use cases for your company. We will work hand-in-hand to agree on the desired outcome.
Model development

We will build and apply various machine learning models to your business data, to find the best solution. As a result, we will develop algorithms that accomplish the desired goal.
Application deployment

We integrate the machine learning model with an API or front-end product, making it user-friendly and accessible to the end-user.
Maintenance

Any system might require time to time maintenance, and we are happy to support our customers with that.

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FAQ

Frequently Asked Questions

What is computer vision?

Computer vision is a field of technology that focuses on teaching computers how to understand and interpret visual information, such as images and videos. Thanks to machine learning techniques, computers are now able to perform a wide range of data processing tasks with very little input or intervention from humans.

How do I know that you can solve my problem with Computer vision?

In general, if a decision or choice needs to be made based on visual medium features, if a human can do it, then a machine can do it. It just becomes a question of how much data is available for training and how much effort is required to build the models necessary to achieve the business goals.

Who is responsible for data collection and labelling?

Data collection is most often on the client side as it is connected to the peculiar business problem to be solved. We can help you with that, especially if it is a data source we have worked with before.

Labeling can be on the client side if very specific knowledge is required for labeling or it can be outsourced to a labeling company or us. Hybrid solutions are also available, and in all cases, we provide proper labeling training and guidelines tailored to the computer vision task.

How long does it take to execute a Computer Vision project?

If you imagine the process made up of iterations of the cycle: data collection, labeling, model development + training, testing & evaluation and deployment into the customer solution, usually the first 2 steps take 20-50% of the time (the smaller the project / standard problem, the higher the percentage) while the split between the latter 3 is really dependent of the novelty of the problem being solved, the required performance level and the complexity of deployment. The computer vision project range is from 3 months to multi-year collaborations.

Do you guarantee the success of the project?

During the project evaluation, we provide a feasibility assessment and, for problems in which we have experience, we can provide a more precise prediction at the level of the computer vision metrics and discuss the forecasted minimum level of performance.