Video Analytics
Generating Insight from Video
Deep neural network technology has dramatically revolutionized many industries, such as healthcare, retail marketing and education. Compared to legacy computer vision algorithms, AI systems can be continuously trained and improved with better and larger data sets. At the forefront of AI video analytics, AgileCore deep learning solutions can achieve 98% accuracy for certain tasks, including intrusion detection and face recognition.
The AgileCore Video Intelligence Platform delivers video analytics solutions for Security, Safety, Access Control and Social Health Screening. AgileCore AI makes video monitoring, security alerts, health screening and forensic investigation more accurate and automated to increase productivity, security, and safety.
Key Features:
ALL-IN-ONE SOLUTION: Multiple functions in one complete system, including video search, intrusion detection, face recognition, LPR, weapon detection, fire detection, etc.
TIME SAVING: Get search result within a few seconds, significantly increase productivity and time savings compared to use of manual inspection and visual identification.
HIGH PERFORMANCE: Based on AI deep learning technology to maximize and enhance GPU/CPU’s performance for fast search.
LOW FALSE ALERT: AgileCore deep learning video analytics system detect events based on object types, reducing 90% false alert cause by the external factor, such as weather, leaf, lighting condition.
EASY INTEGRATION: Easily integrate with existing NVR/VMS and all IP cameras. Therefore, AgileCore can obtain files from multiple DVR/NVR sand camera streams to perform AI-based object detection and recognition
Product Catalogue:
Headquarter:
5/F, 21 Li Yuen Street West,
Central, Hong Kong
香港中環利源西街21號5樓
Development Centre:
西安市未央区凤城八路
109号5号楼449-450
Room 449-450, Building 5,
109 Fengcheng 8th Road,
Weiyang District, Xi'an, China
China
Headquarter:
Room 2418, 4/F, Building 2,
Block 1, Jiangmin Inno Valley,
152 Shengli Road,
Pengjiang District, Jiangmen, China
江门市蓬江区胜利路159号
1幢自编2号楼第4层2418室
Contact
+852 3126 1721
[email protected]
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