Edge AI Station α AI Application

｜App Features｜

Implemented human detection models for both “full body” and "head"

Two detection points (“full body” and “head”) for various camera angles of view

Multiple headcount counting function implemented*See “App Overview” below for details

｜App Intro Video｜

Applied to Kaleidoscope (v2.0.1).(※Under development image.)

｜Usage Scenes｜

Number of people entering and leaving / Number of people staying in an area

Installed at entrances and exits of commercial facilities, stores, and event venues to measure the number of people entering and leaving (line cross counting function). Or, set up a detection area using video images of places where people gather, such as hospital waiting rooms, and measure the number of people staying in that detection area (in-area headcount function). By developing post-processing using Node-RED, external system integration is possible, and measurement data can be sent to building management systems to control air conditioning, lighting, elevators, and so on.

Commercial Facilities

Event Venues

Hospitals, schools, etc.

Offices / Apartments

*Node-RED is a visual programming development tool for interconnecting hardware devices, APIs, and online services.

｜App Overview｜

In addition to the “full body”, it detects and measures the “human head” and implements the following three functions

Counting the number of people in an area

Counting the number of people crossing the line

Intrusion detection in the area

With Node-RED, a standard feature of AI Station, inference results from
AI applications can be processed and sent formatted for integration with external systems.

Generic Node-RED Flow (Post-Processing) Overview

Mail alert (sending)

Generic flow that determines intrusion into the ROI from the AI app's inference results and sends an email with a snapshot image.

*Customer mail server and mail account are required.

Since many AI Station use cases are expected to be deployed in on-premise environments or closed networks with no internet connection, the provision of web apps for visualization is optional for AI Station compatible apps (AIP), unlike the existing store apps (EAP). However, it is not necessary to provide a web app for visualization in an environment with internet access. However, for customers who install AI Station in an environment with internet access, we can provide a web app for visualization by sending the inference results to your website through post-processing by Node-RED. By preparing a web application for visualization, you can appeal your AI application to a wider range of customers, so we hope you will consider developing and providing a web application for visualization.

Grafana

*We plan to use a general-purpose visualization system that can be built with OSS, consisting of Grafana + InfluxDB.
*We plan to provide a manual on how to build a general-purpose visualization system and a general-purpose Node-RED flow for sending visualization data to InfluxDB.
*By using Grafana, it is also possible to send alert emails according to thresholds.

｜Functional Details｜

Detection Methods

Measures the number of people in the ROI drawn by AI Station and the number of people who crossed the measurement line. The AI Station used to detect people only on the “full body”, but this version now supports detection on the “human head”. Therefore, depending on where the camera is installed, you can choose which method to use to measure the number of people. The new version supports both “full body” and “human head” detection, making it possible to accommodate a variety of camera angles of view and installation environments.

Contact ▶

App Provider Company

Company Name:EDGEMATRIX Inc.

About Us:We contribute to society through the development of “Video Edge AI” infrastructure technology. Our mission is to implement “Video Edge AI” in society.

URL:https://edgematrix.com/en

Edge AI Station brochure
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Edge AI Station α

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