International. The security and surveillance sectors cannot begin to look ahead to 2022 without first recognising the importance of 2021 – a year that changed every aspect of our daily lives, including the way we socialise, work, communicate and collaborate.
The world emerged from an unprecedented global pandemic, and companies across all sectors reevaluated every aspect of their business, from how they interact with their customers to how they manage their employees and how they get to market.
This new business landscape has also created new types of security and surveillance challenges. Employees, customers and partners are increasingly working in remote locations, sharing and collaborating across disparate online networks and leaving data vulnerable to intrusions. Sites are monitored remotely and new public health and safety guidelines govern the operation of businesses.
Hanwha Techwin has responded to these challenges with new products and solutions that incorporate continuously emerging technologies, from cloud and automation to Artificial Intelligence/Depp Learning and a range of connected services and processes. Here's a preview of how these trends will continue in 2022:
1. Edge computing/analysis with AI
Surveillance and security solutions are increasingly incorporating edge analytics that provide data that can drive intelligent protection and monitoring. The role of edge analytics will continue to expand significantly in 2022 and beyond. As customers combine edge computing and Artificial Intelligence (AI) to achieve greater efficiency in monitoring and search.
Industry reports predict that 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 number of smart surveillance applications. These include object detection and classification and attribute collection in the form of metadata, all reducing latency and system bandwidth loads and enabling real-time data collection and situation monitoring.
These advantages of edge computing can only be achieved if you have a basic competence in the SoC. Codecs built into the SoC play a critical role in improving image quality, while the AI-algorithmed SoC NPU engine enables edge AI analysis. And due to the limited availability of edge resources, the importance of SOTA (State-of-the-art) AI algorithms is increasing. Maximizing resource efficiency has always been a major challenge for edge computing, making optimization of AI algorithms inevitable. To meet this challenge, new forms of machine learning – such as Transfer Learning – are being introduced to replace the current leading algorithms. Getting ahead of the trend and internalizing these competencies are the keys to gaining firm ground for unrivaled edge computing.
AI and edge computing will continue to improve the efficiency and effectiveness of network video surveillance systems, applying analytics (object detection, loitering, virtual lines and crossing zones, to name a few) to monitor all types of zones or situations. With this pan-vertical AI and camera-enabled edge computing, users can carry out "preventive detection" and rely less on reactive monitoring, increasing safety and efficiency.
Hanwha Techwin's solution:
Wisenet's P and X series AI cameras, which employ AI and deep learning technology, allow only user-defined data to be detected for effective forensic searches and improved operational efficiency. AI and deep learning algorithms help rule out the movements of unwanted objects, such as shadows, animals, or undulating trees, greatly reducing false alarms.
Hanwha Techwin continuously invests in the development of AI SoCs to strengthen its AI edge computing capabilities.
2. Vision-based surveillance system integrated with AI technology
Network video surveillance systems are moving from simple monitoring devices to comprehensive solutions that can be applied in all industry and market verticals. The action engine is AI technology built into systems at all levels, a trend that is expected to have unlimited growth.
Industry analysts estimate that the global AI-based surveillance and security market will reach 4.46 billion (USD) by 2023, with nearly half of the countries currently deploying advanced vision solutions using AI-powered cameras as a vision sensor.
The data generated by AI-powered vision solutions that use AI cameras as a vision sensor creates meaningful business intelligence to help organizations gain a better understanding of their customers and their operations. Thermal imaging and body temperature detection cameras at the entrances of public spaces and in lobbies use an edge AI algorithm to avoid 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 lines at checkouts to increase customer satisfaction. Similar applications and benefits can be applied to traffic management or smart parking systems, logistics and distribution, or healthcare for monitoring critical areas.
Companies can automate their security tactics, with the appropriate response already planned and ready to deploy.
Hanwha Techwin's solution:
Hanwha Techwin's recently launched AI solutions, thanks to its powerful edge video analytics, are addressing a number of challenges across various vertical sectors. COVID-19 solutions, intelligent traffic management solutions, and retail solutions use edge AI video analytics for greater accuracy.
Hanwha Techwin will continue to strive to meet the needs of customers in a number of verticals by scaling up projects that provide customized AI solutions to customers.
3. The "as a service" business model
Surveillance "as a service", the cloud "as a service", access control "as a service"... these are terms that are increasingly heard in the security and surveillance sectors. But what do they really mean and what are the advantages of an "as-a-service" business model?
With the evolution and consolidation of cloud-based services, video surveillance manufacturers can now transform themselves into "solution-as-a-service" providers. Video surveillance companies can offer solutions to their customers through cloud-based platforms, and then extend this model to all areas of surveillance.
The global market for public cloud application services is projected to be a multi-billion dollar sector by 2022. Enterprises can reap many benefits by grouping applications, infrastructure, and business processes into a combined "as-a-service" (aaS) offering. They can react quickly to changing market conditions, get to market faster with new products and services, and maximize the benefits of advanced analytics to improve operations through meaningful insights, all combined to create a unique competitive advantage.
Thanks to aaS models, organizations can tailor solutions to their needs, rather than relying on standard offerings. An aaS approach can offer scalability and profitability, reducing the capital expenditure that companies must commit to and helping them move to an operating expense framework, with services that can often be provided on a subscription basis.
The application of aaS principles to video surveillance – which gives rise to VSaaS – can enable cloud-based recording. This eliminates the need for on-premises servers and allows organizations to quickly deploy systems without the need for complex, time-consuming network configurations. Cameras and all devices can be monitored centrally and many network and system processes can be automated.
Hanwha Techwin's solution:
Hanwha Techwin is also reinforcing its "as-a-service" model by investing in cloud-based platforms and services. By offering cloud-based storage, VMS analytics, device management, design/installation tool, and more, Hanwha Techwin will once again occupy a leading position in cloud-based "Solution as a Service" offerings.
With the success of the recent launch of Wisenet SKY in North America, the company plans to launch Wisenet Toolbox Cloud, which allows customers, and especially system integrators/designers/installers, to design video surveillance systems with a Wisenet portal that allows customers to manage devices on a single platform.
4. Responsible and ethical uses of video surveillance technology
As any technology improves, so do the capabilities of cybercriminals. Security concerns will continue to increase as organizations adopt new cloud models and seek to maintain the trust of customers and employees. The growing number of remote workers also increases the cloud's appeal for cost management, while giving employees the flexibility to work remotely but still securely access the data, goods or services they need to get their jobs done.
Using technologies such as AI-based video cameras to improve security and commercial surveillance has a huge range of benefits. But it also raises the same concern about privacy violations and cyberattacks. For example, the use of biometric data for access control is often criticized as posing a serious threat to privacy. International organizations such as the EU's General Data Protection Regulation (GDPR), the National Defense Authorization Act (NDAA) and other similar bodies have specific and strict requirements for data protection and privacy, and manufacturers compete for certain types of contracts, especially in the government sector or related to international trade, they will have to enforce compliance on their operations and product lines if they hope to gain new business opportunities.
Hanwha Techwin's solution:
Hanwha Techwin is preparing privacy protection technology that uses AI-based object detection technology. It will allow significant objects such as human faces and license plates to be hidden live, eliminating concerns about privacy protection.
Hanwha Techwin's cybersecurity policies start from the beginning of product design and continue at every step of the development and manufacturing process. "The default security policy – following the principles of the UK Cyber Security Centre – means that setting up a camera is already recommended. The company's unique cybersecurity policy meets the strict standards of UL's Cyber Warranty Program (CAP) and its newly launched AI camera lines, including Wisenet P series AI cameras and new X series AI cameras, are equipped with FIPS-validated TPM (Trusted Platform Module) 2.0 (U.S. Federal Information Processing Standards).
Hanwha Techwin makes every effort to take full responsibility for its technological uses by meeting the standards of world-renowned organizations.
5. Technological integration
The network and IoT are already widely adopted, 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 is a massive increase in widespread digital transformation, with key technologies driving this shift, including IoT and networking, as well as cloud computing, smart data and Artificial Intelligence.
The Internet of Things is expected to be positively affected by the advanced network, especially in terms of bandwidth and latency. The incorporation of the advanced network to surveillance cameras favors real-time remote video surveillance, the expansion of the use of mobile applications and the management of the legacy network.
Internet of Things (AIoT) Artificial Intelligence can enable an almost limitless range of potential opportunities, such as open systems/platforms integrated into the expanded connectivity of devices.
Hanwha Techwin's solution:
Hanwha Techwin has its own open platform framework that allows users to add AI applications safely and easily to increase the usability of the camera. It unleashes the potential of cameras to function as a vision sensor in AI-based solutions combined with AIoT technology. To further strengthen its global presence as a leading provider of IAoT solutions, Hanwha Techwin plans to introduce an AI box to offer customers a wider range of hardware options. With the AI box, customers will be able to turn any network camera into an AI camera, allowing users to run applications that meet their specialized needs. The company also plans to strengthen ties with several VMS partners through exchange programs and introduce products with greater plug-in integration options.
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