Summary is AI-generated, newsdesk-reviewed
  • Axis Communications emphasizes 'ecosystem-first' in security technology decision-making.
  • Hybrid architecture evolution: growing edge AI, cloud, and on-premise server integration.
  • Mobile surveillance growth driven by connectivity, remote access, and advanced AI.

In its most recent tech trends study, Axis Communications, recognized for its expertise in network video, provides insights into key factors shaping decision-making in the coming year.

The study, now in its tenth edition, highlights the growing role of IT in influencing decisions connected to security and safety technologies.

Focus Shifts to an 'Ecosystem-First' Approach

The increasing influence of IT has prompted a shift towards an "ecosystem-first" mindset, where decision-making begins with choosing the appropriate solution ecosystem. This perspective emphasizes the importance of selecting an ecosystem comprising a wide array of devices, sensors, and analytics, ensuring seamless integration and management.

The choice relies on committing to a platform offering comprehensive hardware and software solutions from both the main vendor and a network of partners, rather than mixing multiple platforms.

Transformation of Hybrid Architectures

Hybrid solutions, traditionally a combination of edge computing within cameras, cloud resources

Hybrid solutions, traditionally a combination of edge computing within cameras, cloud resources, and on-premise servers, are experiencing a transformation. As new capabilities and use cases develop, the role of edge and cloud technology is expanding. Edge AI-powered surveillance cameras are advancing, providing improved image quality and analytics accuracy, allowing them to perform numerous tasks previously managed by servers.

Simultaneously, cloud-based resources are enhancing their ability to convert camera data into actionable business intelligence, addressing IT's need for efficiency, and meeting the security team's demand for quality and data security.

Elevating Edge Computing

Despite the ongoing reliance on hybrid models, the potential of edge AI is now more fully realized, thanks to significant advances in AI capabilities. The debate about the optimal deployment of AI spotlights the enhanced functions of surveillance cameras and diverse edge AI-enabled sensors.

Edge processing now supports smart video searching and robust cybersecurity measures, such as secure boot processes and signed operating systems.

Growth of Mobile Surveillance

The mobile surveillance sector is sharing substantial growth, expected to continue over the next year

The mobile surveillance sector is experiencing substantial growth, expected to continue over the next year. Innovations in connectivity, remote access, and edge AI have expanded the utility of high-quality surveillance cameras in mobile settings, including public areas, construction sites, and events.

Advancements in power management have enabled lower power consumption without sacrificing quality, making these solutions ideal for battery or renewable-powered setups. Additionally, mobile surveillance solutions offer easier deployment compared to permanent installations, extending security reach to previously inaccessible locations.

Advancing Technological Autonomy

Industries are increasingly focusing on gaining control over the technologies crucial to their products, though expanding into areas like semiconductor design presents significant challenges. Axis Communications demonstrates the benefits of such autonomy by designing its own system-on-chip (SoC), ARTPEC, for over a quarter-century.

This control enhances product functionality and aligns with evolving technological landscapes. Axis emphasizes that innovation thrives through collaboration with customers and partners, allowing the company to advance safety, security, operational efficiency, and business intelligence as it approaches 2026 and beyond.

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