Summary is AI-generated, newsdesk-reviewed
  • Axis Communications highlights increasing IT role in security technology decision-making.
  • Hybrid architectures evolve with growing importance of edge AI surveillance cameras.
  • Mobile surveillance gains traction with improved connectivity, remote access, and quality.

Axis Communications, recognised for its role in pioneering network video, has published its latest technology trends report, offering insights on key factors impacting security and safety technology decisions for the upcoming year.

This is the tenth year of the report, which notably highlights the increasing integration of IT in security decision-making processes.

Embracing an ‘ecosystem-first’ approach

The study underscores a shift towards an “ecosystem-first” strategy as IT's influence over security decisions grows. The initial decision is now shaped by the choice of a solution ecosystem that customers choose to engage with. As solutions diversify to incorporate a broader range of devices, sensors, and analytics, maintaining seamless integration becomes critical.

A unified ecosystem facilitates this seamlessly, unlike mixed platform approaches. Thus, selecting a comprehensive platform with robust hardware and software offerings, as well as secondary partner support, is increasingly becoming a priority in decision-making.

Transitioning hybrid architectures

Cloud resources have also advanced in processing camera data into actionable business intelligence

Hybrid architectures represent a blend of edge computing, cloud resources, and on-premise servers, although these resource allocations are evolving with new use cases. The role of both edge and cloud resources is expanding significantly.

Edge AI-enabled cameras, in particular, are enhancing their image quality and analytic accuracy, performing tasks that were traditionally server-based. Cloud resources have also advanced in processing camera data into actionable business intelligence. While on-premise solutions continue to dominate, there is a notable alignment of these trends with IT efficiency drives, quality expectations from security teams, and the necessity for data integrity and security.

Significance of edge computing

Enhanced AI capabilities are ushering in a new era for edge computing, although hybrid systems still rely on on-premise servers for certain functions. The scepticism around fully embracing edge AI is reducing, largely due to improved AI capabilities.

There’s now a greater focus on determining the most effective deployment of AI, highlighting the advanced functionalities of cameras and expanding varieties of edge AI sensors. Edge processing empowers features like smart video searching and supports cybersecurity features by default, including secure boot and signed operating systems.

Growth in mobile surveillance

Mobile surveillance continues to experience robust growth, forecasted to expand further in the coming year

Mobile surveillance continues to experience robust growth, forecasted to expand further in the coming year. Factors contributing to this include enhanced connectivity, remote access, and edge AI, which have collectively enabled the use of sophisticated surveillance cameras in mobile applications.

This makes these technologies attractive for diverse environments, such as public safety scenarios, construction sites, and major events. Innovations in power management have also led to lower energy consumption without sacrificing quality, suitable for battery or renewable energy-powered setups. These portable solutions are also easier to approve than permanent installations, extending security and safety to challenging areas for physical personnel placement.

Pursuing technology autonomy

Companies are increasingly keen on gaining more control over essential technologies. However, venturing into areas like semiconductor design represents a complex challenge far removed from traditional business operations. Achieving technological autonomy significantly enhances offerings, with global partnerships playing a pivotal guiding role. Axis’s initiative to develop its own system-on-chip (SoC), ARTPEC, started over 25 years ago, granting it unparalleled control over product functionalities.

Amidst a rapidly evolving tech landscape, Axis's research facilitates the development of innovations that cater to the shifting demands of customers, while seizing opportunities to boost safety, security, operational efficiency, and business intelligence. These innovations are driven by collaborations, responsive customer interactions, and sustained partner relationships, as the industry collectively navigates challenges and steers towards future advancements.

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