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New Research from AXIS Communications Reveals Video Surveillance AI Perspectives

Written by Curtis Marquardt on . Posted in Utility Security Update.

Axis Communications has released its latest research report, The State of AI in Video Surveillance, which explores global industry perspectives on the use of artificial intelligence in the security industry and beyond.

The report reveals current attitudes on AI technologies through in-depth interviews with AI experts from Axis’ global network and a comprehensive survey of more than 5,800 respondents, including distributors, channel partners and end customers across 68 countries. The resulting insights cover AI integration and the opportunities and challenges that exist regarding security, safety, business intelligence and operational efficiency.

Axis’ research found that 62% of partners identify “AI and generative AI” as one of the most significant trends shaping the industry’s future, compared with 34% of end customers. This positions AI as the top trend for partner businesses—tied with “cybersecurity, risk and privacy,” which also garnered 62%. Among end customers, however, AI ranks third, with “cybersecurity, risk and privacy” leading at 61%. Additionally, half of partner respondents highlighted “analytics and actionable insights” as a key trend, while 36% of end customers agreed.

“AI remains one of the most powerful and transformative technologies within the video surveillance industry today,” said Mats Thulin, director, AI & analytics solutions, Axis Communications. “This new research reveals that while there are significant opportunities for AI to improve safety and security alongside business intelligence and operational efficiency, there must be a focus on ethical implementation and meaningful integrations to drive continuous value.”

Overall, the focus on AI and analytics signals a growing industry understanding of the many benefits of AI adoption, including greater efficiency, improved decision-making and enhanced output quality. However, end customers consider cybersecurity, risk and privacy to be a higher priority when it comes to technology integration, which likely signals ongoing ethical and compliance-related concerns surrounding AI. Trust, responsibility and accountability will be critical if providers hope to lead customers toward greater AI integration.

Report Reveals 9 Key Insights About the Acceleration of Cloud and Edge AI to the Growing Use of Facial Recognition

Participants of the study collectively revealed these nine key insights relating to cloud and edge AI:

  • AI adoption surges with differences between markets. Many view the technology as still growing, but recognize how it is evolving at different rates based on market and location.

  • The transition to cloud and edge AI continues to accelerate. In a hunt for easier scalability and faster processing, more and more are viewing cloud and edge AI as crucial to those goals.

  • Integration of diverse data is generating valuable insights. With the integration of diverse data sources, many believe this shift will fundamentally impact safety and security by providing a more comprehensive understanding of events.

  • Growing use of facial recognition. Many predict that facial recognition will continue to gain traction globally. While they express concerns about the ethics of this, they also acknowledge that there are ways of using this technology that align with ethical standards.

  • New opportunities for business intelligence and operational efficiency. Participants view AI integration as a means to empower network cameras to improve operations in a number of ways, including space optimization, people counting, asset tracking and more.

  • AI integration challenges: bridging expectations and capabilities. Participants expressed concerns about the challenge of effectively combining the right tools and technologies to achieve the desired surveillance and detection results.

  • Partnership and collaboration for effective and responsible AI integration. Participants emphasized the importance of partnering with organizations that align with the ethical challenges that may arise from implementing AI technologies.

  • Navigating responsible AI. Interviewees expressed concerns that decisions made by AI systems could become biased or unreliable. They also reiterated concerns about the legal and ethical challenges of using these tools.

  • The road ahead – future trends to watch. Participants acknowledged the difficulty in predicting future trends or solutions due to the rapid pace of technological development. However, they pointed to expectations of smarter AI pipelines and greater integration between AI and IoT sensors.

To read the full report, you can download it here.

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