The integration of artificial intelligence (AI) and the Internet of Things (IoT) is transforming security systems. Surveillance cameras, smart sensors, and real-time analysis platforms are articulated in models that allow for more automated processes.
According to Luis Bonilla, manager of business development and sales engineering for Latin America at Axis Communications, "the key is to understand how these advances allow us to move from traditional surveillance to intelligent surveillance, with tools such as deep learning, computer vision and metadata analysis to offer solutions adapted to each context, from critical infrastructure and urban security, to shops and companies."
Edge Computing and AV1 in Digital Security
Edge Computing is emerging as one of the central technologies of this evolution, as it processes data directly on devices such as cameras or sensors, without relying exclusively on the cloud.
Added to this trend is the adoption of the AV1 video coding standard, developed by the Alliance for Open Media. AV1 is designed for efficient video streaming over the Internet and integrates with cloud platforms. Its application allows you to optimize bandwidth and guarantee high-quality images.
Smart sensors and open protocols
Today's security cameras not only record, but also incorporate sensors capable of detecting patterns, sounds and behaviors. These functions are integrated into systems that share information in real time through open protocols.
"The 'cloud + edge' approach allows for a symbiotic interconnection, where each component of the system fulfills a specific function, ensuring operational efficiency without compromising security or privacy," Bonilla said.
Cybersecurity and deepfakes
The expansion of connected devices has put cybersecurity at the top of the agenda. Among the recent threats, deepfakes represent a challenge by manipulating images and videos with great realism.
"It's no longer enough to just 'see is believe,'" Bonilla said, adding that organizations must "keep systems up to date, use secure authentications like new architectures, and monitor in real time."
The spokesperson stressed the need to strengthen the education of personnel and the use of detection tools that allow them to face digital manipulations.
Technological transformation in surveillance
Companies in the technology sector are developing solutions that integrate AI, IoT, and cybersecurity. The purpose is to guarantee surveillance systems adapted to complex digital environments, with measures aimed at protecting information and confidence in operational security.
