Decade of Embedded vision, surely ! Computer vision has come a long way in last decade propelled by technology, computer power and mainly advancements in algorithms. A decade ago, when algorithms took few hours to run, we are seeing real-time implementation at least on Desktop and high end mobile processors. As this technology makes inroads to consumer devices, processing power, standardisation of (hardware) video analytics algorithm blocks and practical algorithms will need to come together.
Very interesting article. As a human machine interface design company, we are sure to see this come into play in the coming years. Probably sooner than later from the sound of it! Thanks for the information.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.