- Features

POINT -1-: Existing surveillance cameras can be utilized

AI facial recognition can utilize footage from existing surveillance cameras, eliminating the need to install expensive dedicated cameras and allowing for low-cost implementation and operation.

POINT -2-: Instant detection possible with just one face photo

By simply registering a single facial photo of the target person, real-time detection is possible. Management is easy via the dashboard, making it more efficient to manage suspicious individuals.

POINT -3-: Target person tracking is possible

The movement of detected people can be tracked with high accuracy using multiple cameras, contributing to understanding behavior within facilities and strengthening security.

- Operation

1. Cameras at entrances and exits instantly detect suspicious individuals entering the building
It is possible to detect suspicious individuals registered on a watch list from surveillance camera footage in real time, and to notify and display them immediately.
Security staff can work with on-site security guards based on the detection results, which helps prevent incidents from occurring.

2. Optimize security resources
AI facial recognition instantly detects suspicious individuals, allowing security guards to respond quickly and prevent problems before they occur, shortening response times and focusing patrols on areas with high traffic.
By properly deploying security guards, it is possible to improve security.

3. Streamlining of trail management and post-mortem analysis
All facial recognition logs are recorded in chronological order, making it possible to accurately determine who was where and when.
By analyzing recorded footage and comparing it with the history of people who have been detected in the past, it becomes possible to quickly determine the cause of an incident or accident and present evidence when it occurs.

- Flow of implementation

STEP 1: Introducing Oosto and investigating the current situation
First, we will introduce the features of Oosto and some use cases. After that, we will discuss the current situation of your facility (camera installation status, security system, issues, etc.) and consider the optimal implementation method.

STEP 2: Proposal and experience at the showroom
We will propose an Oosto implementation plan based on a survey of your current situation. You can experience the actual detection accuracy and tracking functions of face recognition at our showroom, and get a concrete image of what it will be like after implementation.

STEP 3: Support for analyzing recorded video and system construction
If necessary, we will use actual customer surveillance camera footage to provide facial recognition analysis support using Oosto. Based on the results, we will design, procure, and build the necessary system configuration (servers, networks, software, etc.).

STEP 4: On-site demonstration experiment
To help you understand the usefulness of "Oosto" in the field, we will verify the flow of detection, tracking, and notification of suspicious individuals. Through the demonstration experiment, we will accompany you and support you from proposing to implementing ways to improve the efficiency of security operations.

STEP 5: Production operation and post-operation support
We will regularly hold interviews with you regarding the effects and issues after implementation, and will support you in maximizing the effectiveness of the implementation.