Manufacturing is leading the way in adopting AI to increase operational efficiency, adjust product designs, optimize inventory management, and many more. Yet manufacturers are facing many problems implementing AI, especially when it comes to interoperability and ensuring data quality.
While manufacturing data is frequently biased, out of date, and rife with errors,
applying AI to autonomous robotics and manufacturing demands a high level of system interoperability, edge computing, and real-time decisions.
TagOn answers those requirements for any size projects with embed automatic annotation tools to increase accuracy and minimize latencies. Moreover, we deliver a fully-customized solution to ensure compatibility to your production with efficient response time, resulting in in-depth AI deployments.
