With each stage of development in high-definition IP cameras, as the megapixels increase, there is a greater emphasis on tailoring solutions to avoid major impact on network bandwidth and storage. As camera features are improved and enhanced, so is the need for greater bandwidth and storage. While H.264 compression enabled widespread use of megapixel resolution, bandwidth and storage are still a major concern for many customers.
More industries and organizations have an increased need for greater details and features when purchasing high-definition cameras. From a cost standpoint, storage has an impact on customer purchasing. While storage may seem inexpensive relative to other technology, when a customer adds up the amount of storage needed for a full megapixel deployment, it is not necessarily cost-effective. This results in the purchase of fewer cameras. Fewer cameras may result in security incidents being missed, which can directly impact a business.
Face detection is a new technology that significantly combats bandwidth and storage costs. A camera’s ability to detect a face in a scene and send an alarm without increasing bandwidth and storage is key. Superior high-definition cameras can detect a face and increase the bit rate around it, while still being able to see the surrounding areas in the scene. Think of this as an intelligent region of interest.
Customers concerned about bandwidth are generally on “shared networks.” Shared networks are those where traffic from the security devices coexist with traffic from other business functions, as opposed to dedicated networks where only security traffic travels. This situation can occur anywhere; however, this issue is largely seen in the healthcare and education markets.
In applications where capturing quality facial imagery is important, choosing the right camera can make a difference. With some surveillance cameras, you have no choice but to set the resolution and quality high enough to capture the faces with ample clarity. But when those settings are used all the time, whether there is a face in the scene or not, this wastes bandwidth and storage on video that is not important. In other cameras, you might have to crop the image in order to save bandwidth and storage, but this often loses important scene information. The best option is an intelligent surveillance camera which can be set at a lower overall bit rate but one that will boost the quality around faces detected in the scene. This captures high quality face images, but reduces overall bandwidth and storage consumption by not wasting it on less interesting parts of the scene. But those parts of the scene are still available so that important information is not lost.
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What other ways are you offsetting the need for more storage within your IP security system? Let us know by leaving a comment below.
