Search and access up to hundreds of petabytes of data in real time.
Appropriate use of existing storage resources based on data utilization and management strategy

Quantum ( CEO Kang-wook Lee) introduced its video surveillance storage, the 'StorNext Tiered Storage Platform,' which can meet the rapidly increasing customer demands in the video surveillance market, such as the increase in high-resolution cameras, compliance with laws and regulations, explosive growth in data volume, and expansion of data utilization fields.

Quantum's StorNext tiered storage platform can search and access up to hundreds of petabytes (1.024 TB) of surveillance data in real time, regardless of whether it resides on disk, tape, or cloud storage.

StorNext allows you to appropriately utilize existing storage resources based on your data utilization and management strategy. Its easy scalability allows you to operate a complete video surveillance storage system at a reasonable cost. Furthermore, StorNext utilizes high-speed virtual Ethernet access networking technology to support fast data transfer and access.

The adoption of network cameras is rapidly increasing worldwide, and these cameras are capturing massive amounts of video images. Additionally, the number of high-resolution, multi-sensor, and 360-degree panoramic cameras is increasing, and data retention periods are also increasing to meet litigation and legal requirements.

In particular, with the growing demand for real-time video analysis, as well as surveillance, CPU utilization and network allocation for video data encoding and decoding are becoming increasingly important for efficient operation of video management systems (VMS). Consequently, demand for high-performance storage, as well as network cameras, is skyrocketing.

This is because video surveillance data can be leveraged to support business by integrating with various business systems or connecting with IoT devices. As network cameras become increasingly utilized for various purposes, such as crime prevention, traffic, and building construction, a variety of video data is being generated and collected. This video data can be utilized in various fields, including preemptive crime prevention, traffic and transportation management, building facility management, and urban planning and operations.

In particular, the intelligent video analytics market is moving beyond simple real-time surveillance to analyze behaviors and patterns to prevent crime and increase store sales. Video surveillance data, previously used solely for video recording and monitoring, is now being utilized in sales analysis and marketing (People Counting), loss prevention (POS integration), intelligent road networks (Automatic Incident Detection), facility and asset protection (Perimeter Protection), and parking management (License Plate Recognition).