Uri Guterman, Head of Product & Marketing at Hanwha Techwin Europe previews the Top 5 Video Surveillance Trends for 2022, focusing on cutting-edge technologies from AI, edge-computing, to the cloud.
The security industry cannot look ahead to 2022 without first acknowledging the significance of 2021: a year that changed every aspect of our daily lives, including how we socialise, work, communicate and collaborate. As the world started to emerge from an unprecedented global pandemic, organisations in every industry re-evaluated every aspect of their business, from how they interact with their customers to how they manage their workforces, and how they go to market.
Here’s a preview of these trends and an assessment of how they will impact our industry in 2022:
AI edge computing / analytics: the proliferation of data and analytics is driving business decisions
Surveillance and security solutions are increasingly incorporating on-board analytics to deliver data that can drive intelligent protection and monitoring. The role of on-board analytics will continue to expand significantly in 2022 and beyond, as customers combine edge computing and AI to achieve enhanced monitoring and search efficiency.
One industry report predicts that the total global edge computing infrastructure will be worth more than $800 billion by 2028. The use of AI at the edge, especially with analytics based on deep learning algorithms, will form a key element in a range of “smart surveillance” applications. These include object detection and classification as well as the collection of attributes in the form of metadata – all while reducing latency and system bandwidth requirements and enabling real-time data gathering and situational monitoring.
AI and edge computing will continue to improve the efficiency and effectiveness of network video surveillance systems, applying analytics (object, loitering, virtual line and area crossing, detection to
name a few) to monitor every type of area or situation. With AI and edge computing enabled by cameras being used across vertical sectors, users can conduct ‘pre-emptive detection’ and rely less on reactive monitoring – increasing safety and efficiency.
Vision-based surveillance systems are being integrated with AI
Network video surveillance systems are advancing from being simple monitoring devices to form comprehensive solutions that can be applied in every vertical industry and market sector. The driving force behind this is AI technology integrated with systems at every level, a trend that is expected to see unparalleled growth. Indeed, industry analysts estimate the global AI-based surveillance and security market will reach $4.46 billion as soon as 2023.
The data generated by AI vision solutions using AI cameras as vision sensors creates meaningful business intelligence to help organisations gain a better understanding of their customers and their operations. Thermal imaging and body temperature detection cameras at public space entrances and lobby areas use edge-based AI algorithms to bypass non-human heat sources and reduce the frequency of false alarms. Cloud-based solutions use people-counting algorithms to help store owners evaluate sales or floor design strategies, or heat-mapping to measure and avoid long checkout lines to increase customer satisfaction. Similar applications and benefits can apply to traffic management or smart parking systems, logistics and distribution, or healthcare for critical area monitoring. Businesses can automate their security tactics, with the appropriate response already planned and ready to deploy.
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