Gorilla Technology Edge AI Technology Overview
Until now, the data acquired by the edge device was sent to the cloud as it is, and the data learned in the cloud was passed to the edge device.
With this method, it took a long time to update the learned data.
At Gorilla Technology, it is preprocessed on IVAR® edge devices and then passed to public, private, or hybrid clouds for analysis.
Unstructured data such as videos and images are transformed into structured data using deep learning.
Each event is stored in software-determined storage and categorized by use, such as biometric authentication, account management, device management, or business intelligence.
case study
With cutting-edge AI technology powered by Gorilla Technology IVAR®, it is possible to react to events in real-time, even from edge and IoT devices and CCTV equipment.
It can be used in a variety of scenes, including surveillance, security, staff and visitor management, as well as stores, traffic, and parking lots.
The table is a general example provided by Gorilla Technology IVAR®.
| human | vehicle | mono | |
| identification | Identify shopper age and gender based on demographic analysis and lifestyle brand preferences | Create real-time congestion statistics for parking lots | Sending vehicle data to law enforcement agencies to improve the efficiency of criminal investigation activities |
| inspection | Implement immigration control and tracking using biometrics | Match captured vehicle license plates against a watchlist to monitor illegal dumping in reservoirs | Receive alerts when your baggage leaves your hand |
| Location-based analytics | Leverage video analytics to analyze employee activity across multiple offices and gain a better understanding of workspace management | Enable vehicle tracking from CCTV facilities throughout the city | Use iBeacon technology to analyze traveler routes and time spent in locations |
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