Mosaic delivers intelligent image processing solutions powered by custom AI & computer vision models that automate laborious tasks, de-risk operational processes, and streamline decisions with analytics that perform and users can trust.

Custom Computer Vision Solutions

Mosaic builds robust artificial intelligence solutions tailored to our clients’ data, infrastructure, and decision-making processes. We find many customers have been burned in the past by hiring subpar consultants or development services that fail to understand the mechanics behind deep learning, which leads to mistrust in the Artificial Intelligence that is supposed to be helping them.

Mosaic has been utilizing AI/ML techniques for 20 years, way before they were cool. If you hire Mosaic, this won’t be our first computer vision project, and we rely on 100’s of successful deployments across diverse use cases, industries, technology to build the right tool for your organization.

We offer top-flight computer vision services from onshore data scientists based in the US and Canada. Our projects range from evaluating AI that isn’t performing to building an executable AI roadmap to renting a data scientist to work as part of a development team and everything in-between.

Featured Success Stories & Insights

Q&A with Mosaic’s Resident Computer Vision Expert

In this Q&A, we sat with Principal Data Scientist Priya Karanth for her take on the latest innovations and most powerful applications behind the ever-changing landscape of computer vision. Let’s see what lies beyond the surface.

Extract Movement-Based Insights with Pose Estimation

Wielding the power of computer vision human action extraction to gain insights from video data presents an opportunity for logistics companies to make improvements for new and current customers.

Detect Defects on the Line with Computer Vision

Deep learning, specifically computer vision and natural language processing, can be designed to identify defects during the product packaging process. These deep learning models can verify that a label on a package is present, correct, straight, and readable.

Automate Asset Inspection

Mosaic designed and deployed custom computer vision models to automate asset recognition & inform inspection decisions.

Computer vision and deep learning deliver when an experienced data scientist guides the development. Too often, organizations fall victim to the trap that a single piece of vaporware can mimick the scientific process of asking questions of a dataset and answering them with algorithms.

If you want to build AI tools that users trust and use to make decisions, you need to explain your modeling decisions and results. Mosaic takes this development off your plate so you can focus on your business.

Don’t have your project wind up in the news.

Hire AI Experts.

Explore Mosaic’s Efficient Engagement Process

Explore Some of Our Computer Vision Success Stories & Curated Thought Leadership

Mosaic’s Strategic Partner, Aerial Vantage, Receives FAA BVLOS Waiver for Precision Agriculture Analytics

Aerial Vantage has received Federal Aviation Administration (FAA) approval of a waiver allowing it to conduct advanced remote sensing missions using unmanned aircraft systems (UAS, or drones) over a large ranch in Florida.Read More →

Improving Vehicle Alignment using Computer Vision

Mosaic built a computer vision solution to improve the process of a vehicle moving through an automated car wash. Read More →

Using Computer Vision Techniques for Pose Estimation & Gaze Detection

Mosaic developed a proof-of-concept (POC) system that uses computer vision technologies to infer human subjects' positions, proximity, and gaze directions from video feeds. Future human missions to Mars will pose mental and behavioral challenges for crew members.Read More →

Improving eCommerce Internet Search with AI

Filtering search results is an essential part of any eCommerce website. Can you remember the last time you shopped online without filtering on product attributes such as color, size, brand, etc. Additionally, rich product attributes are critical to Google SEO which drives traffic and website sales.Read More →

A Review of Open-Source Annotation Tools for Computer Vision

We decided to approach this problem as a similarity learning modeling effort. We used convolutional neural networks to train a model that takes an image or video as input and outputs a vector representation of the input, such that similar inputs will be close to each other in the vector space. The vector learning is driven by a triplet loss function.Read More →

Similarity Learning for Image Geolocation

Few Shot Learning for Computer Vision

Object detection in video has become a matter of routine, however, expanding these models to detect an object of your choosing requires many thousands, if not tens of thousands, of training examples. Few shot learners seek to make this process cheaper and easier by learning to detect new objects with only a small handful of examples (i.e. 1-30). Read More →

What is Computer Vision & why you should be implementing it

Designing and deploying computer vision is a powerful technology that humans can employ to improve their decision making. The only limits to these technologies lie within our ability to think of problems for them to solve. Read More →

Detecting Airport Layouts with Computer Vision

Computer vision is a powerful AI technique with vast business applications. In this white paper, Mosaic examines how to use machine vision for detecting airport layouts from the sky. Read More →