The synergy of AI and cloud computing is reshaping security. Driven by demand for enhanced data processing and management efficiency, AI-powered security solutions are transforming also into essential business solutions. Hanwha Vision has adeptly recognized these industry shifts, aligning its offerings with emerging market demands with the newly released Infoviz business intelligence dashboard and SolidEDGE AI cameras.
A report from Hanwha Vision identifies key trends that will drive the future of the video surveillance market, including the rise of AI-powered devices, bringing everything into a single camera with edge AI, and accelerating cloud transition.
To learn how these trends are changing the industry, we spoke with CH (Choong Hoon) Ha, Chief Sales and Marketing Officer (CSMO) from Hanwha Vision.
asmag: How is Hanwha Vision enhancing its AI offerings and working with partners to successfully bring them to market?
CH (Choong Hoon) Ha: Hanwha Vision is leading the industry’s transition to AI-powered devices. Along with making significant investments in AI product development, we are creating a powerful ecosystem.
A key example lies in our collaborations with partners to deliver innovative AI solutions to the market. At Intersec 2024 in Dubai, Hanwha Vision proudly unveiled its data-driven business intelligence dashboard, Infoviz, developed in partnership with Folio3 Software. This empowers decision-makers with a unified view of crucial metrics derived from AI camera insights.
Bringing new AI-driven solutions customized for each region with our partners all over the world further expands our AI portfolio and partner ecosystem.
Alongside this, we are accelerating the expansion of
Hanwha Innovation & Technology Experience (HITE) centers, acting as key touchpoints for customers and partners in each region.
At our multiple HITE centers, we have created interactive demonstrations that highlight our AI-powered solutions. Here, we educate end-users and partners, showing them the many benefits that our AI-powered devices can deliver for various environments, such as urban infrastructure, retail, factories, logistics, traffic, and medical sites.
We leverage our HITE centers to gather valuable feedback and needs directly from the field. We meticulously analyze this input and share it with our global AI research and development team, ensuring our commitment to developing AI-powered video surveillance solutions that truly address our customers’ most significant challenges.
Furthermore, at our headquarters in South Korea, and our Silicon Valley location in the United States, we operate dedicated Hanwha Vision AI Labs, and continue adding experts to this global AI research and development team. This allows us to accelerate the development of full-stack capabilities in AI, ranging from AI strategy formulation to data processing, and future technology development.
asmag: You have said that more companies are looking to bring everything into a single camera utilizing AI on the Edge. How soon do you envision this being the common solution?
CH (Choong Hoon) Ha: When Hanwha Vision launched the first P series AI camera in 2020, we said that we were beginning a new era of smarter video surveillance. Back then, an AI engine that detects and classifies people and vehicles in real-time was at the center of a new video surveillance paradigm. It became, and will continue to be, essential for the security camera.
However, in just a short time, we have seen explosive growth in market demand for AI solutions and the technology is rapidly advancing. Our
SolidEDGE offering is a perfect example of the rapid pace of innovation that we are seeing.
SolidEDGE is the first real solid-state drive (SSD)-based camera with an embedded server, and was first introduced in early 2023.
This combination of AI and edge computing allows edge AI cameras like SolidEDGE to process data instantly at the source. This empowers organizations to gain immediate insights and adhere to strict data privacy regulations, while saving time and money by eliminating the need to transfer large volumes of data to separate storage and processing locations.
The growing demand for streamlined data processing, management, and cost savings has been driving the rise of edge AI. In fact, Gartner, a leading market research firm, predicts that by 2025, more than 55 percent of all data analysis conducted by deep neural networks (DNNs) will occur directly at the edge.
Looking ahead, Hanwha Vision is focused on enhancing the intelligence of edge AI.
We are actively adding new features to our edge AI cameras in order to meet the needs of different verticals. This year, we will introduce several industry-specific edge AI functionalities.
A prime example is the recent launch of AI add-on application packs specifically tailored to various industries like retail, transportation, and factory. This cutting-edge technology unlocks the potential for smarter edge AI, allowing for capabilities such as detecting and notifying about abandoned or runaway shopping carts, as well as pinpointing forklift locations and monitoring their speed for worker safety. We will continue to expand this suite of applications to meet our customer’s needs.
Additionally, as businesses accelerate their cloud migration, we’re working to develop solutions that combine the power of edge AI and cloud computing. This convergence can unlock vast productivity gains, dramatically boosting the efficiency and scale of AI model training and data analysis across multiple sites.
asmag: What’s driving the change to more cloud adoption – lower costs, greater convenience, technology advancements?
CH (Choong Hoon) Ha: There are multiple factors driving the demand for cloud solutions.
First, companies are increasingly switching their IT expenditure model from Capital expenditure to Operating Expense.
Second, there is high demand for the remote management of multiple regions and diversification of integrable cloud-based solutions.
With cloud-based services, companies can effectively utilize data and cutting-edge technologies such as AI, and streamline business operating costs, either through cloud services in annual/monthly subscriptions instead of opting for large initial investments.
Using secure, cloud-based video surveillance systems, users can break free of local boundaries, and supervise monitored environments anywhere in the world, even when operators are not physically present. Users can access live feeds and recorded videos through a web browser or mobile app even when they are traveling.
A cloud-based video surveillance system, or VSaaS (Video Surveillance as a Service) can fit any organization through integration with other cloud-based solutions.
Companies are already transforming how they use video surveillance by integrating them with security systems (access control, fire detection, building management, e.g.) and connecting them with AI/data analytics solutions.
With the rapid pace of innovation taking place, we imagine a future where security systems do more than just watch. They analyze, they inform, they act. This future is closer than you think.
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