7 Video Surveillance Trends to Look for in 2018

New trends in video surveillance continue to change the way consumers, businesses and machines interact, while also spurring the next revolution in security industry growth, according to a new white paper from research firm IHS Markit (Nasdaq: INFO).

IHS Markit analysts were asked to provide their informed predictions for the global video surveillance market in the New Year. The major trends to watch in 2018, as identified in a new white paper, are as follows:

1. Artificial intelligence and deep learning

Driven by the research-and-development investment from chip vendors, software startups and major video surveillance vendors, deep learning video analytic algorithms have been developed into fully deployable products, with user-friendly interfaces and scenario-focused solutions. For example, deep learning face-recognition algorithms are now available in search-engine applications designed to find missing people from video footage. Vendors that market vertically-focused deep learning applications aligned with their own existing portfolios should have good opportunities to grow.

2. Privacy and GDPR

3. China versus the rest of the world

China is forecast to account for almost half (46%) of global professional video surveillance equipment revenue in 2018. However, the Chinese market has some unique characteristics that differ from other regional markets. Essentially, there are two markets for video surveillance equipment: the Chinese market and the rest of the world.

4. Drone detection technologies

Consumer drones are readily available for just a couple of hundred dollars and flown by anyone, with no prior training and without a license. Thus, the problem of drones in restricted airspace has become an increasing concern. Given the large physical area these restricted airspaces cover, simply being able to identify a nearby drone has proven challenging. Recent developments in drone detection technology mean that anyone wanting to secure a perimeter in 2018 will have to take into account the threat from above.

5. Video surveillance fault tolerance

Compared to the IT industry, the video surveillance industry is often viewed as having a relaxed approach to many aspects of failover and redundancy. However, as the multiple uses and perceived value of video surveillance data increases, we can expect to see increased demands for greater failover, redundancy and backups from end-users.

6. Forensic video analytics as a service

Forensic video analysis has been available for some time, yet the improvement in accuracy provided by deep-learning technology over the past two years has been instrumental in delivering a level of competency reliable enough to assist human analysts. We can expect to see increased convergence in post-recording video repositories, where multiple video sources are brought together and investigated using deep-learning video analytics.

7. The Xue Liang program

The Xue Liang program aims to connect all the video surveillance cameras installed in Chinese districts, towns and villages to a central surveillance platform at the county and national levels — and build a comprehensive mechanism for video data sharing across law enforcement, emergency services and other government agencies. More traditional video surveillance vendors are expected to add datacenter-ready hardware and cloud-enabled offerings to their portfolios, in order to meet the technology requirements of this program.

You can download the complimentary white paper here.

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