The overall high-speed camera market is projected to reach USD 422 million by 2023, from USD 288 million in 2018, growing at a CAGR of 8.00% as per a new report by MarketsandMarkets.
How emerging applications of high-speed cameras to provide new opportunities?
Since its early days, the high-speed imaging domain has deepened vastly—films have been displaced by digital sensors, processors, and storage media; from a few thousand frames per second to millions of frames per second today. The deepening has had a broadening effect on the domain. Technological advancements helped pushing high-speed imaging into industrial operations and the scope of high-speed camera applications has been broadening constantly—like counting exact number of tablets filled in a container in a pharmaceutical plant to ballistics research in the defense industry. Newer applications are being explored continually to solve operational challenges, which are filliped by technology innovations. One example is the growing use of high-speed imaging in collaboration with machine vision and IoT to enhance predictive maintenance.
In 2017, Lund University, Sweden, made a milestone achievement of realizing 5 trillion frames per second. According to the developers, such frame rates open opportunities to visualize extremely fast processes—such as plasma flashes, brain activity in animals, and chemical reactions—which they are leveraging to study fuel combustion to lay the groundwork for next-generation car engines and gas turbines.
Such continued technological advancements and emerging applications to address newer challenges are expected to provide a sustained growth to the high-speed camera market.
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Why slow data offload speed could pose a key challenge?
Data offload speed is the rate at which data generated at internal memory of a high-speed camera is transferred to a permanent storage for further analysis. Offloading data from internal to external storage is a cumbersome task owing to the quality and quantity of data generated.
Usually, high-speed cameras come integrated with Gigabit Ethernet interface that allow transfer of image data from camera internal memory to PCs. There are a number of Gigabit Ethernet protocols available—TCP/IP protocol is inefficient for downloading large videos because of significant overhead involved; UDP protocol may be quite efficient, transferring about 5 GB per minute, but not many high-speed cameras in the market are supported by this protocol.
High cost of cameras
As opposed to conventional video cameras that capture natural-paced footages at 24-60 frames per second, even the basic high-speed cameras capture several thousands. To support such rates and compensate for the resultant light scarcity, highly advanced image sensors are required; frame rates are also directly proportional to the volume of data generated, processing and storing which needs equally advanced processors and significantly large storage capacities. Addressing these requisites drives the cost of a high-speed camera steeply, which is further decided by additional factors such as resolution, monochrome or color camera type, and output format.
High-speed camera market for cameras with
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