Social Chat with Intel and Sighthound: Intelligent Digital Surveillance Systems

Create: 03/06/2017 - 16:21
Intel NUC

Photo: Intel NUC

Intel NUC Solutions Architect Ivan Laporte and Sighthound CEO Stephen Neish led our recent IoT Solution Provider social chat and described the latest innovations that solutions providers should expect in the next year in intelligent digital security and surveillance (DSS) technology.

Laporte outlined the market drivers that are pushing “the rising tide of DSS data,” which include: the increasing value and ROI of IP video; global growth in security and surveillance; and the move from SD analog to HD digital. Laporte noted that DSS technologies are on the rise in smart homes, buildings, factories and smart cities as well as in several vertical markets, such as retail and healthcare.

“DSS is a great opportunity for all of us,” said Laporte, “as we are seeing market growth at the edge and in the data center.” According to Intel forecasts, 859 petabytes of daily data will be generated globally for video surveillance in 2017. The network security camera market will hit 124 million units in 2018, compared to 46 million security cameras sold in 2013.

Laporte notes that the increase in cameras is fueling a pressing need for compute power and capabilities that can be accomplished by desktop PCs and the Intel® NUC. The new surveillance solutions typically include a PC-powered intelligent network recorder, or smart NVR, that can do real-time streaming, computer vision processing, facilitate intelligent storage, send high accuracy alerts and offer events-based archive navigation.

Using AI for Accuracy

Unlike older surveillance systems, digital security solutions can accurately detect intrusion—as it is actually happening—and send immediate alerts. Sighthound Video adds intelligent monitoring and alerts to the video stream, using AI to distinguish between a person from, for example, a squirrel or moving tree in the video feed of a front door.

“The Sighthound software can constantly monitor all connected cameras, IP or webcam. The system watches the feed with its own intelligence, so a user doesn’t have to sit in front of the video feed,” said Neish. By using AI, the system can dramatically reduce the number of false alerts.

“AI works like the human brain. It learns the scene, watches the camera feeds, and decides if what it sees necessitates an alert,” Neish explained. He noted that the solution provider could set rules in the surveillance system for the customer. For example, if Sighthound spots an intruder between the hours of midnight and 5 a.m. in a user’s yard, the software could be set to turn on all the lights or trigger the sprinkler system.

Catch the Wave of DSS

Neish added that the revenue and margin opportunities for service providers in the DSS market include:

  • Hardware, software, solution deployment
  • Security and cloud services subscriptions
  •  Upgrades and extra equipment for scaling customer sites
  •  Support and maintenance.

To hear more from Intel and Sighthound, you can replay the audio discussion, read the full transcript or download the presentation.  

About Author

Patricia Schnaidt's picture
Patricia Schnaidt
Patricia Schnaidt is an expert business technology writer. She has held top publishing and editorial positions at InternetWeek, Network Computing, Windows Magazine and LAN Magazine. Schnaidt has written countless articles, lectured extensively, and authored "Enterprise-wide Networking" (Prentice-Hall). She holds a B.A. in Computer Science from Columbia College, Columbia University.

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