This guide makes sense of camera descriptors and outlines what a camera’s name tells you about its performance to help you make the best selection for your specific application.
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Published:
November 2022
What's meant by 'edge-based' surveillance, and what benefits can it deliver?
What does 'edge-based' surveillance mean, and what benefits can it deliver? Read on to find out.
'The edge' is an IT infrastructure phrase used to describe a situation where data is processed and stored at the periphery of a network rather than centrally. In a surveillance context, the terminology has evolved to focus on capabilities at the camera end rather than at the 'head end,' such as the NVR or video management system (VMS) server. It can also refer to any device used as a potential data source as part of the system, such as sensors or access control readers.
Several essential functions can now be carried out at the camera end. The two most notable relate to analytics and storage.
Most VMS systems available today will offer built-in analytics, integrate with third-party analytics software, or combine both – as with Synergy. For example, algorithms are applied to footage to count people, detect when specific objects or people are present, set virtual tripwires, and detect movement hotspots.
However, transmitting the volume and quality of video footage needed for effective analytics from camera to VMS can take up a lot of bandwidth. Using analytics-enabled cameras can help with this by:
Moving analytical processing to the edge makes it possible to reduce server and network infrastructure requirements and, therefore, potential maintenance costs.
A combination of server-based and camera-based analytics is often preferable. This is especially true if advanced analytics algorithms that harness deep learning or artificial intelligence are required, as these can demand processing power that isn't yet suited to in-camera analytics.
It is also essential to consider recording environments. For example, adverse conditions that impact lighting and camera motion may cause some cameras with analytics capabilities to generate false alerts or miss events. In these situations, it may be advisable to use hazardous-area cameras with analytic capabilities, such as cameras designed for demanding environments, or choose a server-based solution.
Edge-based recording using IP cameras has been around for some time. It allows recording directly to the camera's SD card rather than centrally. However, the most valuable – and most common – application is as a redundancy measure for IP-based surveillance solutions.
Writing to a camera's SD card ensures that data is not lost during a network outage. H.265 compression capabilities and technological advances also mean that more data can be stored on SD cards than was previously possible.
If cameras only record to the SD card and do so constantly, this can still mean cards have to be replaced frequently. For large networks with significant camera counts, this can get very expensive very quickly.
Solutions like Synectics Intelligent Edge Recording (SIER) can help extend camera SD card life by reducing write cycles. SIER mitigates the risk of footage loss by using the in-built camera memory to store a cache of video footage. The SD card is only used if the Synectics IP camera cannot connect to networked storage hardware. Once the network is available, Synergy's backfilling functionality automatically retrieves the data and restores it to the server once available.
In addition to guaranteeing uninterrupted footage access, SIER avoids potential issues such as SD card malfunction or data loss due to overwriting. It also reduces the maintenance burden and cost of replacement SD cards, making it a cost-effective solution.
This guide makes sense of camera descriptors and outlines what a camera’s name tells you about its performance to help you make the best selection for your specific application.
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