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OFTWARE
EFINED
AMERA
Powered by Huawei AI Chip
It can think, share and see in extreme darknessThe security industry has entered the intelligent era. Cameras have evolved from devices that simply process images to those with multi-dimensional awareness; they can now handle and analyze video streams, and they are even able to foresee trends.
Conventional cameras bind software together with hardware, making a convenient device but with limited applications. However, Huawei's innovative Software-Defined Cameras (SDCs) decouple hardware from software and support the continuous online upgrade of algorithms, enabling sustainable development of algorithms throughout the hardware lifecycle with one-time hardware investment.
SDCs also adopt an open-ended software architecture that integrates industry-leading algorithms provided by partners, promoting an inclusive AI ecosystem for both business and everyday life.
Huawei's innovative SDCs adhere to three mission-critical standards: professional AI chips dedicated to SDCs, open-ended operating system specially for SDCs, and open-ended and prosperous algorithm and application ecosystem.
Huawei SDCs use intelligent image recognition technology to automatically adapt to varied light, weather, and motion conditions to optimize image quality in all scenarios and prevent the loss of key information.
Huawei SDCs can simultaneously capture images of over 200 faces per frame using Huawei‘s proprietary HiSilicon chips. Tailored to several environments, including transportation, Safe Cities, and campuses, SDCs can accurately identify people’s faces even if partially obscured, for example, by masks or sunglasses.
With ultra-high computing power, a single SDC can connect to up to 3 common legacy cameras on customers’ existing networks to make the conventional cameras intelligent. This allows customers to use Matrix Intelligence on legacy systems without large-scale reconstruction on customers’ existing networks.
Huawei SDCs support the online upgrade and continuous evolution of algorithms. Algorithm partners can use the open-ended software architecture to help customers quickly roll out intelligent applications, optimize service processing flows, and improve operation efficiency.
This type of cameras can accurately capture faces in motion and match faces in real time in densely populated scenes such as walkways and entrances.
This type of camera supports license plate recognition, vehicle type recognition, vehicle color recognition, and classification of motor vehicles, non-motor vehicles, and pedestrians, applicable to vehicle detection and capture in multiple scenarios such as urban roads, inter-city roads, and city gates.
This type of cameras are smart cameras that can simultaneously capture and recognize motor vehicles, non-motor vehicles, and pedestrians. The cameras support concurrent running of multiple algorithms and can meet video structuring requirements in complex scenarios such as backstreets and urban roads.
This type of cameras are mainly used to detect and record traffic violations taking place at road intersections. By recording traffic violations in detail, these cameras act as the traffic order keeper, effectively promoting courteous driving.
Recognizes license plates and detects vehicles in urban crossroads and highways.
This types of cameras can adapt to varied light conditions and weathers and produce 4K surveillance images in real time by dynamically adjusting image enhancement algorithms. They are widely applied in a variety of industries such as rail transportation and campus.
Provides a one-stop solution to address difficulties in video backhaul and equipment power supply, and helps deploy control networks.
This type of cameras can accurately capture faces in motion and match faces in real time in densely populated scenes such as walkways and entrances.
This type of camera supports license plate recognition, vehicle type recognition, vehicle color recognition, and classification of motor vehicles, non-motor vehicles, and pedestrians, applicable to vehicle detection and capture in multiple scenarios such as urban roads, inter-city roads, and city gates.
This type of cameras are smart cameras that can simultaneously capture and recognize motor vehicles, non-motor vehicles, and pedestrians. The cameras support concurrent running of multiple algorithms and can meet video structuring requirements in complex scenarios such as backstreets and urban roads.
This type of cameras are mainly used to detect and record traffic violations taking place at road intersections. By recording traffic violations in detail, these cameras act as the traffic order keeper, effectively promoting courteous driving.
Recognizes license plates and detects vehicles in urban crossroads and highways.
This types of cameras can adapt to varied light conditions and weathers and produce 4K surveillance images in real time by dynamically adjusting image enhancement algorithms. They are widely applied in a variety of industries such as rail transportation and campus.
Provides a one-stop solution to address difficulties in video backhaul and equipment power supply, and helps deploy control networks.
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