Top Trends Impacting the Video Surveillance Industry

AI and edge computing enabled by cameras for surveillance across vertical sectors offer pre-emptive detection and reduce reactive monitoring, improving safety and efficiency.

FREMONT, CA: As the world began to recover from an unprecedented worldwide pandemic, businesses in every industry reevaluated every element of their operations, including how they connect with consumers, manage their workforces, and go to market. The security sector cannot look without recognizing the significance that altered every facet of everyday lives, including how people socialize, work, communicate, and collaborate. The new environment has also spawned new security concerns. Employees, consumers, and partners increasingly work remotely, sharing and collaborating across fragmented web networks, leaving data vulnerable to theft. As remote monitoring of locations becomes more prevalent, new public health and safety regulations dictate how businesses operate.

AI edge computing or analytics: Data and analytics are shaping corporate decisions. Onboard analytics enable intelligent protection and monitoring in surveillance and security systems. As clients use edge computing and AI to improve monitoring and search, onboard analytics will grow in 2023 and beyond. In "smart surveillance" applications, edge AI, especially with deep learning analytics, will be crucial. It includes object identification and categorization, metadata collecting, real-time data gathering, and situational monitoring while lowering latency and system bandwidth. AI and edge computing will improve network video surveillance systems by using analytics to monitor any area or circumstance.

See Also: Top Cyber Security Companies

AI-integrated vision-based surveillance systems: Network video surveillance systems are becoming comprehensive solutions for every vertical business and market segment. AI technology integrated into all systems is driving this trend, likely increasing rapidly. AI vision solutions using AI cameras as vision sensors generate business intelligence to assist companies in understanding their customers and operations. Edge-based AI algorithms bypass non-human heat sources and reduce false alarms in thermal imaging and body temperature detection cameras at public space entrances and lobbies. Cloud-based systems use people-counting algorithms to help store managers assess sales, floor design tactics, or heat mapping to reduce checkout lines and improve customer happiness.

The emergence of the ‘as-a-service’ model: Video surveillance and access control as a service are becoming more widespread in the security business. As cloud-based systems mature, video surveillance manufacturers can become "Solution as a Service" providers. Cloud-based platforms allow video surveillance system installers and integrators to provide customers with solutions and apply this paradigm to their entire organization. Instead of using off-the-shelf solutions, these approaches let organizations customize solutions. Providing services on a subscription basis within an operational expenditure framework reduces capital expenditure and increases scalability and cost-effectiveness.

Technology ethics get emphasized: Digitization has allowed companies to control operations remotely and obtain insight from system data, increasing value. It transformed numerous businesses. Organizations must implement robust cybersecurity plans to protect their precious data as more operations move online, are handled remotely, and use the cloud. Organizations are becoming more aware of their data protection responsibilities under the General Data Protection Regulation (GDPR). They are looking for suppliers and partners that understand surveillance-related data privacy requirements and can assist in keeping their data safe.