One of the most hyped technologies of recent years is the Internet of Things (IoT), a trend that has entered our consumer lives with home monitoring systems, wearable devices, connected cars, and remote healthcare. These advances were in, a large part, attributed to the expansion of networking capabilities and the availability of lower-cost devices. In comparison, these remain key challenges that have slowed the adoption of IoT in the vision market.
This white paper discusses how machine vision can bring cost and performance benefits to the Internet of Things applications while enabling new machine learning and artificial intelligence capabilities.
What You’ll Learn:
- What is limiting the adoption of IoT application for the vision market
- How do smart devices and edge processing solve challenges
- What's the role of the cloud in future vision applications
