Intelligent security is moving from static security video recording to real-time video analysis-thanks to new artificial intelligence capabilities. With the introduction of permanently online systems, edge computing will play an important role in capturing, collecting and analyzing high-resolution data. The following are some key trends that one can expect to see the results of this evolution.
Security cameras beyond the standard
Standard security cameras focus on transmitting video from a fixed location. This lens can be observed in real time or recorded for future reference. Today, we have seen the evolution of smart cameras, through the emergence of artificial intelligence, static shots, pattern matching, and focusing on specific areas or movements.
However, these intelligent security cameras require built-in storage and smart functions. In addition, many other types of cameras (such as body cameras, dashboard cameras, new IoT devices and sensors) are also used today to produce video data, so that people can analyze and infer that it provides a lot of valuable information in real time, rather than publishing it after the fact.
Edge computing and intelligent security
As the adoption of cloud computing becomes mainstream, organizations are considering the platform as a centralized platform for storing big data. However, data is now processed at the edge, not in the cloud. The main reason for this change in preference is latency, which is crucial when trying to perform real-time pattern recognition.
When 4K surveillance video recorded around the clock is stored in a centralized data center hundreds of miles away, data processing becomes difficult. This data analysis needs to be done quickly to ensure timeliness in dynamic situations such as public safety. By using Western Digital’s WD Purple microSD card to store relevant data at the edge, AI inference can be performed faster, thereby achieving a safer community, effective operations and a smarter infrastructure.
Smart monitoring in smart factories
The factory, which used to be a disconnected unit, has now become a more interconnected and well-functioning unit. From the design stage to the assembly line, intelligent video security-artificial intelligence and the Internet of Things occupy a central position.
Modern factory business requires high-definition 360 smart video security that can monitor all activities. In addition, smart cameras can be deployed to help analyze the efficiency of the warehouse process and the functions of the production line. These additional technical requirements require large amounts of data to run around the clock, and storing these materials is crucial. This can be stored on Western Digital’s surveillance-grade WD Purple HDD, which has a supported workload rate of up to 180TB/year and supports up to 64 cameras. The WD Purple driver is optimized for the surveillance system, designed to support deep learning analysis in NVR with AI capabilities, and has an enhanced workload level of up to 360TB/year.
Ultra HD and storage
AI-enabled applications and functions (such as pattern recognition) depend on high-definition resolutions such as 4K, also known as Ultra High Definition (UHD). This detailed data has a major impact on storage-the capacity and speed that needs to be written and the network used. Compared with high-definition, 4K video has higher storage requirements, and with the advent of 8K, improving storage capacity has become a top priority.
Larger video files place new requirements on the data infrastructure, which means that investment must be a key consideration when looking for smarter security solutions.
Always connect online
Whether it is a 24-hour or 24-hour security solution or an ultra-fast security solution, it needs to run quickly. However, sometimes, the underlying hardware and software systems fail. In this case, it is important to establish a failover process to restore data and ensure continuous operation, including everything from flow control to sensor to camera feed.
Therefore, embedded storage in the form of a WD Purple microSDTM card is used in the camera to achieve continuous recording. Then, AI-driven software tools can “fix” the missing data stream with the content captured on the card to ensure that the video stream can be viewed in chronological order without content gaps.
Complex equipment analysis
Self-monitoring has become a key tool for many systems to achieve better uptime, proactive support and efficiency. Whether in a smart factory or an enterprise environment, a complete system may fail due to a component failure. As a solution, companies need to consider investing in hard drives that can monitor various parameters, including temperature, to help administrators take immediate action before reliability is compromised.
Today, smart security refers to the use of artificial intelligence and edge computing to provide always-on high-resolution security to ensure people’s security around the clock. These trends have increased the need and importance of security monitoring, which means that the supporting data infrastructure is improved to match existing processes, including the ability to proactively manage the infrastructure to ensure reliable operation. Companies need to ensure that they have the storage capacity needed to achieve this.