The focus of the security industry on the main trends in the IT sector will continue in 2017 to date. Therefore, Axis presents the security trends for the coming year.
Cyber Security is the main issue. The possibilities of Deep Learning in the field of video analysis are central and “Security as a Service” expanded. The challenges are becoming increasingly complex. The solutions offered by the industry should therefore follow.
The user wants a complete solution, including analytics if he even intends to control the comprehensive safety surveillance as Security-as-a-Service.
2016 was not a particularly good year for IoT (Internet of Things) devices. Scale cyber-attacks, such as the Mirai Botnets, made targeted use of vulnerabilities in these devices, including also numerous security cameras and recorders. Inspired by the success of these, botnets are also expected in multiple variants in 2017.
Both enterprises and end users need more than ever pay attention to the security of their network. This keeps a careful screening of the manufacturer for not only the procurement of safety but also the implementation of regular updates and patches.
Cyber security does not just sell a product, but also install all the necessary patches and updates during the life of the product. It is the responsibility of the manufacturer to make them available to users in an easy way.
Not only the safety of network products will be a major topic in 2017, but also the support of all IT processes over an extended period. The sensitivity in the security industry is indeed increased, but this is still not at the level it should be.
2) Promote Comprehensive Deep Learning analysis capabilities
High-quality video is a key feature for modern video surveillance cameras. But that is not enough because the information gathered must ultimately be analyzed before a decision can be taken.
The importance of analytics will, therefore, increase further next year. If this is combined with further developed technologies such as thermal images and improved image quality in adverse lighting conditions, challenges to the field of security are addressed in more detail. These include for example face detection, forensic analysis or perimeter security.
This development will also open the door to the security market for artificial intelligence and Deep Learning. Deep Learning analyses are increasingly automated and optimized their quality. It means that computers based on collected metadata and comments from the users learn what behavior is characteristic of certain locations or environments and what behavior deviate from it.
3) Passive video security vs. integrated solution with active components
Physical security is not just about the observation of individuals, locations or events, but often also to intervene actively. This happens for example when the security personnel at the location is present and sees an intruder on camera images.
It can also be performed over large distances. For example, the action can be followed via a loudspeaker, lamps or an access control system. Therefore, the focus in 2017 is on the combination of hardware and software for end-to-end solutions. These consist of high-performance cameras, storage devices, and access control systems that are tightly integrated into video management and analysis tools.
Video surveillance will evolve from a passive technology into an integrated solution with active components. This method is more efficient, allows the use in everyday life for the customer efficiently and improves ROI.
4) Security as a Service
While camera technologies will continue to develop, customers seek for their physical safety in the near future more on ‘Security as a Service’ solutions instead of individual hardware components that are connected to a network.
Total packages, such as the outsourcing of the overall security surveillance at an outside company for specific security issues are becoming increasingly popular.
5) Professional high-resolution cameras
4K is touted as the Next Big Thing. The focus is on improving the quality of the optics and sensors in the camera. Building cameras with high resolution are not difficult. The sensor resolution primarily determines this.
Axis expects the camera technology reached a level in the five-megapixel range that today only occurs with HDTV 720p and 1080p cameras.