*Top video surveillance trends to watch for in 2018

 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, according to the whitepaper. “ 

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

due to the new European Union (EU) General Data Protection Regulation

(GDPR) set to become law across EU member states (including the UK)

in May 2018,

“GDPR will replace each EU member state’s own version of data protection

law and is likely to increase public awareness about the rights ordinary

citizens have regarding their own personal data protection.

With a wide-ranging scope covering many industries,

GDPR also has specific coverage for video surveillance data,” it said.
 

3. 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;

therefore, 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.
 

4. 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, rising

demands for greater failover, redundancy and backups

from end-users can be expected, the whitepaper said.
 

5.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.