ISC West 2019 참가 소식!!

매년 100% 씩 성장하는 미국 지사의 활약을 응원합니다.!! 

​https://www.axxonsoft.com/company/pressroom/news/76058/

AxxonSoft is stepping up R&D in deep learning-based analytics. The company has implemented a full cycle for training AI video analysis to meet the needs of a particular facility. AxxonSoft uses AI for facial recognition; early fire detection, e.g. forest fires; detecting potentially dangerous objects abandoned in public places; and tracking specific types of objects, such as humans or vehicles.
The most recent addition to a powerful set of AI tools used in AxxonSoft VMS is the Behavioral Analytics. It allows detecting a specific pose: for example, a person raising their arms could be a shooter, and someone crouched down next to an ATM could be a burglar. Early notification of responders enables police or corporate security service to quickly neutralize the threat. Discover how it works at our booth 28045!
Moreover, you will see the impressive features of the Axxon Next VMS:

• The latest Axxon Next 4.2.1 release with enhanced Security Policy toolset 
• Comprehensive support for IP video devices, including ONVIF Profile T.
• Edge computing (IoT) — receiving metadata from cameras with embedded object trackers.
• Integration of Intel® OpenVINO™ — a toolkit for computer vision applications which extends workloads across Intel® hardware (including AI accelerators) and maximizes performance.
• AxxonNet cloud service features.
• Face and license plate recognition with positive/negative check list.
• Face search — allows you to quickly find faces that match a picture.
• License plate search — can find the car you are looking for in just a few seconds.
• Fast forensic search across videos using multiple criteria.
• TimeCompressor video synopsis which represents multiple events in a condensed video clip.

At our booth 28045 we'll also show comprehensive integrated solutions based on the Intellect Enterprise PSIM that combine video surveillance, access control, LPR, face recognition and industry-specific toolset for retail chains.