A Scientific Approach to Computer Vision Technology
Science-Driven, Client-Centric, AI for Machine Vision
Our clients understand that precision and accuracy are paramount to achieving constant improvement, lasting value, and a persistent competitive advantage. They know that our AI services and technologies will deliver what traditional rules-based computer vision can’t.
Computational neuroscience-derived methods, including the surprisal measure and spike sorting, deliver earlier and more accurate artifact detection, reduce overfitting, and improve precision and accuracy.
The highest level of confidence is achieved through our ability to not only look at the confidence bounds of prediction but also the prediction of the confidence bounds.
Data Preparation includes open source and proprietary ways to make sure data is clean, features can be extracted, and noisy data is reduced. Our growing bank of software tools ready images for deep learning.
Complex Physical Settings often pose unique challenges including environments that require an understanding of a progression of movement or physical dynamics such as temperature, optics, sound, and motion.
Non-Traditional Data Inputs come into play when a task requires us to see the unseeable. Examples include thermal imaging, x-rays, and microscopic data in a variety of formats, varying angles, heights, and depths. Expertise in physics and engineering provides the necessary skills to overcome the challenges non-traditional inputs present.
Transfer Learning is when a pre-existing network that has been trained on one task is trained to do another task. Using a machine learning solution for one problem can deliver a solution to a related problem quickly and with less training data.
Explainable AI is essential for building trust between AI and the people who need to use it to do their jobs. Tools for understanding why a model gave an answer or result speed acceptance of AI-based recommendations within an organization and decrease resistance to AI-driven decisions.
Organizations Seek Us When
Accuracy truly matters
We deliver unrivaled results when the slightest improvement in precision can save time, resources, or even lives.
Inputs are non-traditional
We produce actionable insights from thermal imaging, x-rays, infrared images, varying angles and multiple formats.
Environment is challenging
We understand the variables in complex physical settings such as progression of movement, temperature, optics, and sound.
Solving complicated or unique computer vision challenges can rarely be done with off-the-shelf algorithms and tools alone. We bring the ability to apply both industry-standard tools and our own proprietary algorithms and models to achieve the best result for each client.
Ghost Modeling – an algorithmic approach that removes non-essential elements from an image and fills the space synthetically
Multi-Waypoint Image Stitching – the process of combining multiple images with overlapping content taken from multiple waypoints or 3D positions into a single image
Multi-Angle Image Alignment – using algorithms to align the angles of images taken by a drone from different elevations and viewpoints
Image Smoothing – reducing “noise” in an image or producing a clearer, less pixelated version than the original
Highest confidence in delivery through a
systematic approach and depth of experience
Engaging With Us
Discovery: We begin with a thorough evaluation of a client’s goals, use case, and project specifications as well as an analysis of their data as it relates to the outcome they seek. We then provide a detailed feasibility assessment and project scope of work specific to their vision.
Design: Next our data science and engineering teams develop a program designed to meet or exceed accepted KPIs. This includes data preparation and modeling as well as the application of proven algorithms from our library of open source and proprietary models and tools. At this stage, we produce a proof of concept (POC) to validate our assumptions.
Develop and Deploy: After a successful POC, we build out the network, integrate the solution into customer business processes, and deploy the solution into production.
Evolve: Once the solution has been deployed, the algorithms continue to learn, evolve, and optimize. We support our clients during this process of continued refinement to fully optimize performance.