Mosaic Software and Mosaic Data Science are building easily deployed custom AI applications powered by deep learning to automate tasks that normally require human vision.

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Computer Vision | AI within reach

Computer vision is a field of artificial intelligence that trains a computer to extract the kind of information from images that would normally require human vision.

The goal of these deep learning models is not only to see, but also process and provide useful results based on the observation.

Machines can accurately classify and summarize images, identify objects, find similar images, and more. With the right application, they can react to what they see and automate a traditionally time-consuming process.

The only limits to these technologies lie within our ability to think of problems for them to solve.

Mosaic will fit a solution to you & your business processes, not the other way around.

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Businesses are adopting machine vision, yet many experience challenges

According to the leading market research firm Statista – the computer vision market is expected to grow to $30B in annual revenue by 2025.

Based on the latest media hype, you might think a business can just point convolutional neural networks at a problem, and presto, they have machines classifying images. In reality, properly designing and deploying a functional computer vision system involves complex steps that require significant expertise to carry out successfully.

It is very challenging for a single piece of software to solve multiple use cases. Each organization’s data is quite different. A Fast R-CNN might fit a set of data inputs for one use case, while a SSD is better at identifying a different set of images. If you are going for competitive advantage, why not build something powerful & unique to your business?

Without understanding the mechanics behind these models, you run the risk of not understanding the outputs, not being able to tune the model or not being able to translate analytics to business terms. You’ll spend a lot of time and money on a failed project if you don’t rely on the experts.

Many companies have failed to properly use computer vision because they lack the required experience. Experts with significant computer vision experience can help you create models that are adaptive and customizable, with understandable outputs and analytics that translate to business value.

Mosaic has helped several customers put machine vision to work for them.

Real-Time Routing

Transportation firms utilize these computer vision algorithms to facilitate real-time routing, biomarker analysis and drone integration.

Asset Identification

Energy companies need to conduct inspections on their physical infrastructure, computer vision more accurately predicts degradation & alerts maintenance.

Product Defect Identification

Manufacturers can train deep learning models to identify defects in their manufacturing processes, boosting throughput efficiency.

Facial Recognition

Computer vision excels at identifying unique people using facial recognition. Low hanging fruit include the use cases around security, loyalty and segmentation.


Machine vision can save lives, plain and simple. In the high pressure world of complex surgery, computers can work with humans to identify biological risks. Insights can aid doctors in identifying predictive biomarkers, improving patient outcomes.

Predictive Maintenance

By training AI to accurately identify asset defects, these models can predict exactly where & when an asset will go down.

Mosaic can build you a powerful, custom computer vision solution. Our data scientists are experts at the deep learning development needed to train these machines. Our data engineers can help gather and organize your data. Our software engineers can integrate your computer vision models with products and deploy them in a scalable infrastructure.

Buying an out of the box solution might sound nice, but tuning deep learning takes substantial customization from an experienced data scientist. If a company promises you an out of the box solution to classify images, they do not understand the complexity of computer vision or artificial intelligence and you run the risk of a black box that doesn’t work.

Mosaic works with our customers where they are. We frequently coach and mentor our customers even while solving critical business problems.

New to artificial intelligence (AI)? Mosaic’s proof of concept engagements are incredibly effective.

What is Computer Vision & Why You Should Be Implementing It

Neural what? Our intro to computer vision blog provides a gentle introduction to this deep learning technique. Mosaic focuses on the explainability of AI & machine learning, we can unpack any black box.

Using a deep learning algorithm with poor performance? Mosaic specializes in explainable AI.

Detecting Airport Layouts with Computer Vision

Are you experimenting with neural networks, but not sure how to tune them properly? In the white paper above, Mosaic explains rapid prototyping of a diverse set of deep learning algorithms to more accurately detect airport layouts.

How do we build data pipelines to support efficient automation and facilitate human acceptance?

Deep Ranking for Image Similarity

Are you planning to deploy computer vision models but want to make sure you have the correct data architecture in place? Mosaic’s software engineers have been deploying algorithmic solutions since 2004. Our collaborative approach fits the AI around you, not the other way around.

Additional Computer Vision Resources

Buy vs. Build: What’s the best approach for custom software?

Computer vision sounds expensive. At Mosaic, we use existing infrastructure and leverage open source platforms to achieve significant cost savings. Mosaic is a proponent of custom software, believing this approach truly provides businesses with a unique competitive advantage. Effective computer vision and deep learning solutions must be customized to the specific customer domain and data. Off-the-shelf solutions simply can not provide the true benefits of computer vision.

The Executive Role in a Data-Driven Organization

Integrating artificial intelligence models into a business decision making process might be a shock for some executives. Mosaic builds our solutions with an eye towards usability. What good is AI if you can’t understand what it is telling you?

Q/A with one of our Data Pipelining Experts

Mosaic provided an in-depth interview with one of our senior product engineers who specializes in enabling the flow of data to facilitate artificial intelligence applications.

Computer Vision Fact Sheet

Download the PDF

Mosaic compiled a sheet examining the rise of AI vision.

Computer Vision in Three Steps

Finding an Image

Ingest images from various sources in real-time to be stored for analysis.

Deep Learning

Data scientists train these deep learning models to identify thousands of labeled images. After training/validation automation can be easily deployed.

Understand the Outputs

After the artificial intelligence classifies the object, system provides outputs back to the user or another machine.

By bringing dynamic software development & expertise into deep learning development, Mosaic Software & Mosaic Data Science are poised to build a custom AI vision system that will save your firm millions.