Bionano core biometrics algorithm
Bionano is an integrated core optimization algorithm based on multi-biometric recognition, which is created by Anviz. It covers fingerprint recognition, face recognition, iris recognition and other multi-functional, multi-scene applications.
Bionano Finger
1. Fingerprint encryption technology.
Anviz Bionano adopts unique feature point encryption and coding technology, which can recognize fake fingerprint and realize live fingerprint detection for level high security application scenario.
2. Complex fingerprint adaptive technology.
Automatically optimizes dry and wet finger, and automatically repairs broken grain. Suitable for different people from different regions.
3. Fingerprint template auto update technology.
Bionano provides an automatic comparison update fingerprint algorithm.The optimization of fingerprint synthesis threshold ensures the best fingerprint template in storage.
Bionano Face
Bionano provides an automatic comparison update fingerprint algorithm.The optimization of fingerprint synthesis threshold ensures the best fingerprint template in storage.
Bionano Iris
1. Unique binocular iris technology.
Binocular synchronization recognition, intelligent scoring system, automatic threshold screening, reduces false recognition rate to one part per million.
2. Intelligent fast alignment technology.
Bionano automatically detects iris location and distance, and provides different color prompt light which automatically tracks iris in the visible range and optimizes it.
RVI(Real time video intelligent)
Real time video stream analysis is a comprehensive intelligent algorithm based on front-end real-time video streaming. Widely used in Anviz camera and NVR products.
Smart Stream
Anviz Video compression technology is based on automatic scene judgement. Under dynamic, static and other comprehensive factors. The lowest bit rate can be reduced to less than 100KBPS, and comprehensive storage can save more than 30% compared with the mainstream H.265+ technology.
Smart Stream
230KB
H.265
680KB
Video optimization technology
Different from traditional video streaming image simple optimization, RVI relies on the advantages of FPGA algorithm to optimize scene-based object detection. For the front-end video stream, we first identify the location coordinates of people, vehicles and objects, and target objects according to the scene requirements. Image optimization includes low illumination, wide dynamic, fog penetration, with saving computational power, which increases memory space.
Video structuring
RVI provides a structured video algorithm based on front-end. At present, we focus on people and vehicles recognition. It includes human face annotation, face photo extraction, human shape annotation, feature extraction and so on. For vehicle we have license plate number recognition, vehicle feature extraction, moving line detection algorithm.
Real time video streaming mosaic technology
Image overlap analysis based on front-end video streams provides 2-way, 3-way, 4-way image mosaic technology, which is widely used in retail store patrol display management, public place full range control and other scenes.
Cyber Security (ACP Protocol)
ACP is the unique encryption and internet transmission protocol customized for its biometric devices, cctv devices and smart home devices based on AES256 and HTTPS protocol. ACP protocol can realize 3 functions of interworking broadcast, protocol interaction and information sharing. At the same time, ACP protocol covers the hardware underlying algorithm, area interconnection, cloud communication three vertical platforms, and has a deep decompilation technology to ensure the LAN, cloud communication data interaction security and customer privacy protection.
SDK/API
Anviz provides a multifunctional and well diversified hardware and cloud-based SDK / API development protocols, and provides a variety of development languages including C #, Delphi, VB. Anviz SDK / API can provide professional platform partners with convenient hardware integration and one-to-one services for in-depth customization requirements development.
