As the end of the year approaches, technology experts have highlighted technological changes predicted to affect the security sector in the next 12 months.

According to a blog post published by Axis Communications, tech, product, and artificial intelligence experts view a “significant impact of these trends for people in terms of enhanced camera imagery quality, hybrid solutions, and safety”.

Hybrid solution technology

Hybrid architecture will be on the rise. The choice of architecture will consider technological, legal, ethical, and governance concerns and requirements.

Experts predict that hybrid solutions will “continue to offer flexibility in creating architectures”. This comes amidst strong demand in emerging local and regional regulations and concerns over control of data, cost, or energy efficiency.

Hybrid solutions give freedom of choice to store and look at video, as well as manage devices. Users can also choose where and how their data is stored and managed.

AI evolution

Efforts are reducing the size of generative AI models to lower financial costs, energy use, and environmental impacts. This raises debates on balancing AI’s cost with its overall value and efficiency.

Advancements like deep learning enable tasks such as object recognition to run directly within surveillance cameras. This allows AI models to address ethical concerns, biases, and decision risks.

AI enhances security operations by analyzing data from sensors like radar, audio, and visuals to detect anomalies. Experts predict that over time, it will enable faster, more accurate responses to incidents with reduced energy and cost impact.

Beyond safety and security becomes real

Data generated by sensors like video, audio, and environmental can benefit numerous use cases. Experts expect to see an acceleration of applications aligned to operational efficiency and business intelligence.

This trend highlights the opportunities for more collaboration across various customer organizations with different areas of business operations. Data created by video cameras for security purposes can be analyzed over time to improve people experience and sustainability.

‘The rebirth of image quality’

Experts say advances in analytics and AI will lead to reignited image quality and results. A single camera produces high-quality image and cover larger areas, reducing the need for multiple cameras like before.

These images also support analytics, like large crowds, busy traffic intersections, or fast-moving production lines. Operators will additionally be automatically alerted to scenes that they need to pay attention to.

Software support and long-term values

The value of high-quality hardware is extended and maximized through ongoing software enhancements throughout its life cycle. This reduces the total cost of ownership.

This includes the functionality of cameras, like cybersecurity. Experts emphasize that image quality as a focus will place keen attention on the maintenance of surveillance cameras to avoid obstructions and lack of analysis.

Technology autonomy

Greater control over foundational technology like the silicon “upwards” will facilitate a vendor to design specific capabilities aligned to customer needs into its products. This allows to be “secure by design”, as well as to minimize the risks of broader disruption to global supply chains.

Companies have long participated in designing their own semiconductors to gain more control over their service delivery, particularly in AI. For example, Axis Communications, a Swedish manufacturer of network cameras, access control, and network audio devices, adopted core technology independence. They developed their own system-onchip, ARTPPEC.

According to the company’s blog post, AI, cybersecurity, and privacy will also be the focus of new regulations for national and regional legislators.