IHS Markit: top video surveillance trends 2018
In a new white paper, IHS Markit analysts were asked to provide their predictions for the global video surveillance market in 2018.
January 10, 2018 By SP&T Staff
The major trends to watch are:
1. Artificial intelligence and deep learning
Driven by the research-and-development investment from chip vendors, software startups and major surveillance vendors, deep learning video analytic algorithms have been developed into fully deployable projects, 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.
According to the white paper, vendors that market vertically-focused deep learning applications aligned with their own existing portfolios should have good opportunities to grow.
2. Privacy and GDPR
In 2018, there will be an increase in the wider discussion about privacy and how the video surveillance industry protects the data it gathers, says IHS Markit. Much of this discussion will stem from the new EU General Data Protection Regulation (GDPR), which will become law across EU member states in May 2018.
3. China versus the rest of the world
China is forecast to account for 46 per cent of global professional video surveillance equipment revenue in 2018. The Chinese market has some unique characteristics that differ from other regional markets, says IHS.
4. Drone detection technologies
Consumer drones are available for a couple of hundred dollars and flown by people with no prior training or license. The problem of drones in restricted airspace has become an increasing concern. Given the large physical area these restricted airspaces cover, identifying a nearby drone has proven challenging.
Recent developments in drone detection technology mean that securing a perimeter in 2018 will have to take into account the aerial threat.
5. Video surveillance fault tolerance
According to the white paper, 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
Improvements in the accuracy of forensic video analysis provided by deep-learning technology have 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 to meet the technology requirements of this program.
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