While the COVID-19 pandemic continues through its third year, things have largely returned to normal for most Americans. Mask requirements – once a ubiquitous sign of pandemic life – have mostly disappeared as case numbers have decreased. Personal protective equipment of other sorts, however, isn’t going anywhere. Though you may no longer check for a mask before leaving the house, PPE remains vitally important for many businesses.
The sheer number of recalls that occur each year suggest that typical best practices for identifying, tracking, and remediating hazards simply aren’t working well enough. Plainsight can help businesses of all sizes ensure the quality of all types of products by expediting and simplifying the process for creating and deploying custom AI models for proactively identifying risk factors, tracing contamination to the source, and identifying impacted process stations and equipment.
Within the agriculture industry, businesses contend with a host of challenges like evolving regulations, supply chain complications, and the ongoing ravages of climate change. They are tasked with addressing worldwide issues like global hunger while also working to stay ahead of the competition. A new approach to computer vision, powered by an AI platform, can help.
Tiling is an important process for analysis of images with computer vision and allows for a more detailed look at specific sections of an image without sacrificing resolution. After dividing an image into tiles, computer vision algorithms can then inference on each individual tile before reassembling them into a new composite image.
Shadows can pose a unique problem for model accuracy, specifically in the case of instance segmentation and object detection. Without a robust dataset that includes shadows, your model may mistake the shadow as an additional detection–which can skew accuracy.
