Computer Vision

Beyond facial recognition and autonomous vehicles, Image Analysis is becoming mainstream in many business settings. The implementation of computer vision models can help to automate and accelerate processes that previously were reliant on labor heavy processes, eliminating costly bottlenecks and achieving results at a scale and speed that previously were impossible.

A few examples of some recent Computer Vision projects:

• Railroad Industry Solutions Moving railcar inspections from onsite to in office, with image models flagging suspect images for additional review; Capturing video footage of the track and then using Image Analysis algorithms to identify the presence (or absence) of mandatory signage; Using computer vision models on drone footage taken in the hump yard to ensure proper cotter pin connections.
• Healthcare Industry Solutions Implementing computer vision to analyze pathology slides to identify cancer cells for further analysis by a specialist.
• Insurance Industry Solutions Training a computer vision model paired with Machine Learning, CV models recognize storm damage to roofs, carpet, walls, automobiles, and more.
• Data Capture Automation Extracting text from images of documents to then be analyzed using Natural Language Processing for interpretation and classification of the content of the document for proper routing.
• Photo Validation Implementing Image Analysis for Driver’s License and Photo Validation to automate Identity and Name/Address Confirmation