The "Algorithm Definition" series of smart cameras is a new generation of SVAC artificial intelligence cameras launched by Vimicro Technology Co., Ltd. This series of products adopts Vimicro Group's self-developed chip, built-in deep learning neural network architecture, and can quickly replace intelligent analysis algorithms and algorithms according to application needs. Parameters to meet the application needs of differentiated scenarios such as personnel and vehicle deployment control, target classification and capture, event discovery, and monitoring environment adaptation.
Algorithm-driven intelligent IoT hardware platform
Zhongxing Technology recently launched the "Algorithm Definition" series of smart cameras. By providing an overall solution of algorithms, chips, tools, and application architecture, the smart camera is transformed into an "algorithm-driven intelligent IoT hardware platform", and the depth is realized around embedded chips. The training, transplantation, deployment and optimization of learning algorithms create high-performance integrated intelligent application systems for customers to efficiently and quickly meet the various needs of customers in applications.
1 Different deep learning algorithms can be loaded online according to application needs, and the algorithm switching speed can reach the second level; it can meet the different front-end intelligent analysis requirements of the same monitoring point. 2 Provide deep learning algorithm migration tools under Caffe, TensorFlow and other architectures, which can be efficient, Quickly transplant the intelligent algorithms and parameter sets developed on the server to the embedded neural network
Vimicro VS-IPC6091S-V3 (V52V1SD1) algorithm-defined camera (hereinafter referred to as Vimicro SVAC algorithm-defined camera) supports GB/T25724-2017 ("Public Security Video Surveillance Digital Video and Audio Codec Technical Requirements", SVAC2.0) National standards, with the application capabilities beyond ordinary smart cameras (H.264/265), the characteristics are reflected in:
01Combine geographic and temporal characteristics with intelligent applications to realize intelligent mixed reality (MR) applications
The "Algorithm Definition" series of smart cameras can obtain precise spatial parameters (latitude, longitude, altitude, pointing, pitch angle, etc.). Through intelligent calculations combined with the video GIS engine, real scenes (video surveillance images) and target information (such as An augmented reality application (AR) that combines the results of face recognition) and geospatial information (such as road and building names).
Typical application scenarios are
Find suspects through facial recognition algorithms;
The camera realizes the automatic mapping between the current monitoring picture and the geographic information system (GIS) spatial coordinates through intelligent calculation;
On the video surveillance screen, you can see the suspect's intelligent identification results (identity information), surrounding roads and key places (finance, commerce, hotels, etc.) and other information, and you can also see the location of the surrounding police officers/police cars and their expected arrival at the scene Time and other information.
02Integration with IoT applications
There is a lot of information in the real world that cannot be obtained through intelligent analysis algorithms. For example, ID card reading information, RFID reading information, WiFi MAC address collection data, etc. Combining these Internet of Things data with the results of intelligent video analysis can realize more accurate judgment, trajectory restoration and attribute characterization of people, vehicles, objects, and events.
The algorithm definition series smart cameras not only support the access and processing of all kinds of Internet of Things information, but also associate all kinds of Internet of Things information with intelligent analysis results, and send them to the server together with the SVAC video for big data analysis and application.
03
Solve video contact information security issues
The algorithm definition series smart cameras fully comply with the national standard GB35114 "Technical Requirements for Public Security Video Surveillance Networking Information Security", and can support access authentication, video signature and data encryption functions based on national secret algorithms.
Among them, the object of video signature and data encryption can not only include video data, but also the artificial intelligence analysis result (such as face recognition information) can be processed as the object of digital signature and encryption, which greatly improves the security of video surveillance network information.
Rugged metal material
The SVAC algorithm of Zhongxing Technology defines the camera body size of 209mm (length) × 90mm (width) × 72mm (height), and the body weight is 1.2Kg. The body adopts a heritage design of black metal material, which is sturdy and durable. Suitable working temperature is -25℃～+65℃, working humidity is 20%～85%, non-condensing, supports 6KV lightning protection, anti-surge and anti-surge protection, in line with GB/T17626.5 level 4 standard, indoor Can be installed outside.
The camera uses DC12V/3.5A power supply, the back-end interface includes USB, RS-485, RS-232, BNC, network port, alarm input/output, audio input/output, etc. It can support a T-Flash card with a maximum capacity of 128GB. Front-end storage, complete interfaces, convenient installation and commissioning, and support for resumable transmission of the network, fully meet the needs of various security monitoring, especially the personnel bayonet and important channel monitoring that require facial capture.
HD display SVAC transmission
Vimicro's SVAC algorithm defines that the camera uses a 1/1.9" 2.38 million pixel image sensor, lens interface C/CS, maximum image resolution of 1920×1080@25fps, video encoding supports SVAC1/SVAC2 national standards. The minimum illuminance of this machine It is black and white 0.0002lux@F1.2, 50IRE, color 0.002lux@F1.2, 50IRE. It supports backlight compensation, strong light suppression, wide dynamic, digital noise reduction, fog penetration, etc., supports 16-bit wide dynamic data, up to 96dB Wide dynamic effect.
In the actual test, set SVAC, 1920×1080@25fps, 4Mbps, the test shows that both the horizontal and vertical resolutions reach 1150TVL, the color reproduction is accurate without color cast, and the grayscale is 16 levels. The scene of the monitoring screen is constantly changing, and the code stream is between 1.9Mbps-3.7Mbps under the actual measured bit rate, with an average of 2.3Mbps, and the video transmission and playback are smooth.
Set the day-night conversion mode to automatic, and as the ambient illuminance gradually decreases, the color of the image in the monitoring screen gradually becomes lighter. When the illuminance drops to 1Lux, it will automatically switch to night mode, and continue to reduce the illuminance to 0.01Lux. At this time, you can’t see five fingers around you. It is difficult for human eyes to distinguish the scene, but the overall picture of the monitoring object has a clear outline and the details are slightly poor. Noise.
Face detection snapshot
The SVAC algorithm defined by Vimicro is a SVAC high-definition face capture network camera specifically for security surveillance applications. It can detect and capture faces in surveillance videos in real time, and can support up to 30 face detection and capture in each frame.
The minimum face size of the camera is 45 pixels at 1080P resolution, and the missed detection rate is less than 0.1%. Face detection angle: Pitch angle +45°～-45°, roll angle +60°～-60°, yaw angle +90°～-90°. Support mask occlusion face detection, sunglasses occlusion face detection. In the actual measurement, the fastest speed can reach 15 face capture images per second.
feature of product
1
Metal material, sturdy and durable, can be installed and applied indoors and outdoors.
2
Video encoding supports SVAC1/SVAC2 national standards, access authentication based on national encryption algorithms, video signatures and data encryption functions, and achieves the highest security level C required by the national security standard.
3
Support face detection, upload up to 15 face snapshots per second, and multiple video intelligent analysis algorithms.
4
Hold absolute time, ID card, face, fingerprint, intelligent analysis alarm, OSD and other special monitoring information and front-end video structured description information.
5
Support the access and processing of all kinds of Internet of Things information to realize more accurate judgment, trajectory restoration and attribute characterization of people, vehicles, things, and events.
Reviews
The SVAC algorithm of Zhongxing Technology defines the camera’s built-in SVAC chip, which makes full use of the features and advantages of SVAC. It can perform real-time detection and capture of faces in monitoring, and supports absolute time, ID card, face, fingerprint, intelligent analysis alarm, OSD and other monitoring special information and front-end video structured description information realize the training, transplantation, deployment and optimization of deep learning algorithms, which can adapt to various complex application environments and create high-performance integrated intelligent application systems for customers.
Main specifications
| Image Sensor | 1/1.9" 2.38 million pixels |
| Minimum illumination | Black and white 0.0002lux(1/25s), @F1.2, 50IRE, color 0.002lux(1/25s), @F1.2, 50IRE |
| Video resolution and frame rate | 1920x1080@25fps |
| Minimum face size detection | 45pixel at 1080P resolution |
| Face detection angle | Pitch angle +45°~-45°, roll angle +60°~-60°, yaw angle +90°~-90° |
| Monitor extended information | Support absolute time, ID card, face, fingerprint, intelligent analysis alarm, OSD, etc. |
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