Software-defined cameras is an upgrade of traditional cameras, which have evolved from single-data-source processing to multi-dimensional data integration and from intensive manpower management to artificial intelligence technology. A software-defined camera works on the continuous evolution and development of artificial intelligence (AI) algorithms. Moreover, software-defined cameras with open-ended platforms provide integration capabilities to deploy AI in different security scenarios. Providers of software-defined cameras are trying to produce a wide variety of security scenarios such as situation awareness, face checkpoint, intelligent transportation surveillance (ITS), and vehicle checkpoint.
Moreover, software-defined cameras have various features such as HD video capture, wired and wireless network transmission, intelligent cloud storage, and intelligent Big Data analytics. Software-defined cameras work in accordance with situations and enable continuous algorithm upgrades, unlike traditional cameras. Moreover, with advancement in technologies and increasing competition in the market vendors are trying new technologies to develop innovative products. Software-defined cameras offer open-ended platforms and allow for integration with different deep-learning algorithms.
Furthermore, artificial intelligence provides a wide range of applications in software-defined camera (SDC) market, where with the help of AI chip the camera can support the trillion-level computing processing through neural networks, deep learning algorithms and enables to implement the target classification (motor vehicle, non-motor vehicle, pedestrian), attribute recognition (vehicle model, color and license plate).
Increasing concerns about security, advancement in technologies, and theft issues are some of the major factors driving the global software-defined camera (SDC) market. Increasing population, rise in the incidence of criminal activities, and increasing strictness in traffic rules are also estimated to boost the demand for software-defined cameras during the forecast period. However, certain factors such as changes in weather conditions and high initial operating and maintenance costs associated with software-defined cameras are hampering the software-defined camera (SDC) market. Moreover, difficulties in installation and a low rate of success are challenges faced by software-defined camera providers.
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Advancements in technologies, such as artificial intelligence, Internet of Things (IoT), and machine learning, are creating lucrative opportunities for global the software-defined camera (SDC) market. Moreover, Big Data and cloud-based technologies offer an open video surveillance platform.
The global software-defined camera (SDC) market can be segmented based on form factor, application, industry, and geography. Based on form factor, the software-defined camera (SDC) market can be classified into box camera, dome camera, and bullet camera. In terms of application, the software-defined camera (SDC) market can be divided into license plate recognition, surveillance, advanced driver assistance systems (ADAS), and facial recognition (identity access management). Based on industry, the software-defined camera (SDC) market can be segmented into government, transportation, commercial, residential, and smar