You have to look at all the positive applications. At Organic Motion we have been providing computer vision technology without any suits or markers for quite some time (a kinect on steroids if you will.. :-) As one example, think about motion analysis in the life sciences. You can check some of the applications in our channel, www.youtube.com/organicmotion
The camel's nose is really starting to poke into the privacy tent. We have cell phones that casually report in their-your real time position, cars that have been quietly equipped with black boxes for years, cameras in public places fed into DVRs with excellent facial recognition, and now the majors are moving to embed computer vision into home systems. Recall the school district that secretly embedded student issued laptops with remote video monitoring software, then illegally watched the students at home - if people can, they will, and they do. The information that future home computer vision tools can potentially be programmed to collect and-or transmit from inside private residences should give everyone long pause before inviting them in unconditionally. Loss of privacy is written all over computer vision enabled tools, but like cell phones, users will not asked, nor realize what has been taken until a long time later.
Processing 2D images is challenging in its own right, but aiming for spacial awareness as is done in Kinect could be very interesting. We've come a long way in our expectations from the 8-bit CPUs that I used to work with.
I always look forward to the wide spread application of computer vision. The invention of Kinect is an exceptional example of its application. In the very near future, computer aided driving or even automatic driving will likely have the sense of computer vision. What other area will computer vision apply?
Good to see advance in computer vision. Combining with voice and gesture recognition, it helps to improve the user-friendliness of an equipment. At the end, no body needs to spend time reading thick manual and dealing with the large keypad.
Computer Vision + Gesture recognition is going to be very pervasive in home electronics in the coming years. You can probably just wave at your TV, to switch channels or turn it off. The huge success of MS Kinect, makes me believe that all the components required, like 3D radars,imaging cameras are available and ready for primetime. Just that someone like Sony/Samsung has to do the necessary research and start integrating it into home electronics.
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.