BigDataFr recommends: Video meets the Internet of Things.

[…] Video-analytics technology is transforming the Internet of Things and creating new opportunities. Are companies prepared to capture growth?
 
Some of the most innovative Internet of Things (IoT) applications involve video analytics—a technology that applies machine-learning algorithms to video feeds, allowing cameras to recognize people, objects, and situations automatically. These applications are relatively new, but several factors are encouraging their growth, including the increased sophistication of analytical algorithms and lower costs for hardware, software, and storage.
 
With video analytics becoming more important to IoT applications, we decided to examine this technology more closely. We first looked at the general factors propelling growth and then examined opportunities by use case, setting, and technology. To gain more insight into go-to-market models, we investigated two out of the many areas where the use of video analytics is relatively well established: surveillance (for multiple consumer and business use cases) and retail.1 Our work builds on a June 2015 report, “Unlocking the potential of the Internet of Things,” by the McKinsey Global Institute (MGI). It also draws on expert interviews for insights on video-analytics technologies and customer segments.
 
We found that the opportunities for video-analytics applications will vary by setting and function. Similarly, opportunities to make money vary along the IoT value chain, with companies positioned to capture most revenue from software and application development. […]

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By By Vasanth Ganesan, Yubing Ji, and Mark Patel
Source: mckinsey.com