Are you looking for direction on the newest technology trends that will shape security and surveillance this year? Maybe you’re wondering which types of products your customers will ask about when they begin their next project.
Hanwha Techwin has your back, with our annual forecast of the “Top 5 Video Surveillance Trends” for 2022, tailored to the new business landscape within the security and surveillance industries. From the cloud and automation to Artificial Intelligence/deep learning and an array of connected services and processes, here’s a preview of the technologies we’ll be talking about in 2022:
1. AI Edge Computing/analytics
Surveillance and security solutions are increasingly incorporating on-board analytics delivering data that can drive intelligent protecting and monitoring. The role of on-board analytics will continue to expand significantly in 2022 and beyond, as customers combine edge computing and Artificial Intelligence (AI) to achieve enhanced monitoring and search efficiency.
Industry reports predict the total global edge computing infrastructure will be worth more than $800 billion by 2028. The use of Edge AI, especially with analytics based on deep learning algorithms, can be a key element in a range of “smart surveillance” applications. These include object detection and classification, and collection of attributes in the form of metadata – all while reducing latency and system bandwidth burdens and enabling real-time data gathering and situational monitoring.
These benefits of edge computing can only be achieved by having a core competency in SoC. Codecs embedded in SoC play a key role in improving image quality while the NPU engine in the SoC with AI algorithm enables AI analytics on the edge. And due to limited resource availability on the edge, the importance of SOTA (State-of-the-art) AI algorithms is on the rise. Maximizing resource efficiency has always been a top challenge for the edge computing, making the optimization of the AI algorithms inevitable.
2. Vision-based surveillance systems integrated with AI technology
Network video surveillance systems are advancing from simple monitoring devices to comprehensive solutions that can be applied in every vertical industry and market sector. The driving force is AI technology integrated with systems at every level, a trend that is expected to see unlimited growth.
Industry analysts estimate the global AI-based surveillance and security market will reach 4.46 billion (USD) in 2023, with nearly half of all the countries currently deploying advanced AI vision solutions using AI cameras as a vision sensor. The data generated by AI vision solutions using AI cameras as a vision sensor creates meaningful business intelligence to help organizations gain a better understanding of their customers and their operations.
3. The As a Service Business Model
Surveillance as a Service, Cloud as a Service, Access Control as a Service – these are all terms being heard more commonly across the security and surveillance industries. But what do they really mean and what are the benefits of an “as a service” (AaS) business model? With the evolution and maturation of cloud-based services, video surveillance manufacturers can now transform into “Solution as a Service” providers. Video surveillance companies can provide solutions to their customers through cloud-based platforms, and then extend this model to every area of surveillance.
The global market for public cloud application services is forecast as a multi-billion-dollar industry in 2022. Companies can realize many benefits by packaging applications, infrastructure and business processes into a combined “as a service” offering. They can react quickly to rapidly changing market conditions, go to market faster with new products and services and maximize the benefits of advanced analytics to enhance operations through meaningful insights – all combining to create a unique competitive advantage.
4. Responsible and ethical uses of surveillance technology
As any technology improves, so do the capabilities of cyber-criminals. Security concerns will continue to increase as organizations adopt new cloud models while seeking to maintain customer and employee trust. The increasing number of remote workers also increases the cloud’s appeal for managing costs while giving employees the flexibility to work remotely but still securely access the data, goods or services they need to do their jobs.
Using technologies like AI-based video cameras to enhance commercial security and surveillance has a tremendous range of benefits. But it also raises just as many concerns over privacy violations and cyber-attacks. For example, utilizing the biometric data for the access control is often criticized for posing a grave threat to the privacy. International organizations such as the EU’s General Data Protection Regulation (GDPR), the National Defence Authorization Act (NDAA) and other similar bodies all have specific and stringent requirements for data protection and privacy, and manufacturers vying for certain types of contracts, especially in the government sector or related to international trade, will need to enforce compliance across their operations and product lines if they expect to win new business opportunities.
5. Redefining Technology Integration
Network and IoT are already widely embraced but they will continue to disrupt the security camera market, enabling new advances in HD video streaming, even on mobile devices. These technologies will expand the potential applications for audio and video analytics and Artificial Intelligence in an increasingly connected world. On a broader level, there’s a massive upsurge in widespread digital transformation, with the key technologies driving this change including IoT and network as well as cloud computing, intelligent data and Artificial Intelligence.
The Internet of Things is expected to be positively impacted by advanced network, especially in terms of bandwidth and latency. Adding advanced network to surveillance cameras supports remote real-time video surveillance, the expanded use of mobile applications and legacy network management.
Artificial Intelligence Internet of Things (AIoT) can enable an almost unlimited array of potential opportunities, such as open and integrated system/platforms to expanded device connectivity.