#13: Computer vision with Plainsight.ai CEO Kit Merker

Manufacturing

Computer vision is revolutionizing manufacturing by enhancing quality control and streamlining processes. Kit Merker highlights how this technology ensures consistency across different manufacturing locations, addressing issues like labeling errors in international food packaging 1. By integrating computer vision with existing infrastructure, companies can deploy a unified system that manages various tasks, from security to customer care, using a single camera setup 2. This approach not only simplifies operations but also opens up opportunities for creating differentiated products.

Deploy a Kubernetes cluster that runs all these filters and processes the data and gives that data out to the different teams.

--- Kit Merker

Robert Scoble adds that such systems could even monitor customer wait times in service industries, further enhancing operational efficiency 1.

   

Agriculture

In agriculture, computer vision is transforming how tasks like livestock counting and produce sorting are conducted. Kit Merker explains that while some tasks may not benefit from camera use, others, like cattle counting at auctions, can significantly reduce manual labor and errors 3. This technology allows for the creation of specialized filters that focus on specific tasks, such as identifying patterns in customer behavior or performing sentiment analysis 4.

We work with a company that does cattle. They sell cattle at an auction, and they have the ranch hands that are counting the cattle as the auction is happening.

--- Kit Merker

Robert Scoble notes that these innovations could also be applied in retail settings to analyze customer dwell times and optimize sales strategies 4.

   

Security

Computer vision is also making strides in enhancing security and safety, particularly in wildfire detection. Kit Merker shares the development of a wildfire detection system using public cameras in Washington state, which scans for potential fires every five minutes 5. Despite challenges like false alarms from headlights and sunsets, the system aims to improve data accuracy through community collaboration and advanced AI techniques.

We built a wildfire detection filter and we roll it out so that every five minutes we are scanning it.

--- Kit Merker

This initiative not only provides a valuable resource for fire prevention but also demonstrates the potential of computer vision in addressing real-world safety concerns 5.