- Below is the content from the press release--
(Head office: Minato-ku, Tokyo; President: Shintaro Hashimoto; hereinafter "KIDS PLUS"), a developer and operator of business systems for preschools, and GAUSS Co. (headquartered in Shinjuku-ku, Tokyo; Tsunenori Utsunomiya, President; hereinafter "GAUSS"), which provides the edge AI camera x IoT platform GAUDiEYE, have started a joint experiment at Shonan Preschool (Chigasaki City, Kanagawa Prefecture) in order to supplement human error with the latest technology and prevent a recurrence, following a recent tragic incident in the news where a child was left on a bus to and from school and died from heat stroke. (Chigasaki City, Kanagawa Prefecture).
The system will be installed in all buses transporting children to and from kindergartens, of which there are approximately 10,000 facilities nationwide, with the aim of solving social issues so that such a tragic incident will never occur again.
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[Background of introduction]
Tragic incidents of preschool children dying of heat stroke due to being left behind in shuttle buses have occurred repeatedly every year, and the government and local governments have provided guidance such as making operation manuals mandatory, but human attention is limited and human error occurs, so a drastic However, no drastic solution has been reached because human attention is limited and human error occurs. Furthermore, having preschoolers press buttons and relying on them to do so does not constitute a safety measure.
Therefore, KIDS PLUS, with its strength in business systems for nursery schools and kindergartens, and GAUSS, with its strength in AI cameras, believe that it is necessary to prevent human error by utilizing the latest technology, and will install the AI camera "GAUDiEYE" on the bus to prevent children from being left behind. We will be happy to provide explanations and quotations to kindergarten operators and administrators considering anti-leaving systems at any time, so please feel free to contact us first. Please feel free to contact us at sales@ml.gauss-ai.jp
Installation Step】
Step1. Installation: (1) AI Camera, (2) Mobile Wi-Fi, and (3) Mobile Battery are installed in the car.
The camera is lightweight (approx. 150g) and can be fixed with a magnet or strong double-sided tape.
Step 2. Detection: Adjust the detection sensitivity and set the detection area (coordinates to be detected in the camera image).
For videos extracted by motion detection, AI detection can narrow down the detection area to only people and adjust sensitivity.
Step 3. Notification: Set the notification e-mail address and notification time (about 2~3 hours after the end of the operation).
Optionally, automatic voice notification to the representative phone and warning light to the staff room can be selected.
Features of GAUDiEYE]
1) The AI camera can automatically detect and notify the administrator if a child is left behind, whereas the driver has to visually check if the child is left behind and the child has to push a button.
(2) While in-train cameras require constant visual confirmation and motion detection and motion sensors require excessive notifications, the AI Camera combines motion and person detection and notifies the administrator of images (video) inside the bus only when a child is left behind.
What is GAUDiEYE?
GAUDiEYE, which officially launched in April 2022, has gained wide support for its products, which can easily be equipped with its own AI and have a highly accurate AI and maintainable IoT management system (GAUDiHUB) while offering AI cameras at a low price, including forecasts within the year Shipments have reached 500 units. This camera with AI functionality contributes to the safety and security of workplaces in manufacturing, construction, nursing care, etc., and prevents and records any industrial accidents that may occur.
GAUDiEYE Functions】
①Object detection and alert notification by image recognition (e-mail, push notification, patrol light, etc.)
→Alerts workers in real time when there is danger, preventing occupational accidents, and allows setting notification conditions for multiple camera conditions (such as whether people are entering while equipment is operating) in addition to single conditions such as whether people are entering. In addition to single conditions such as the presence or absence of human intrusion, notification conditions can be set for the status of multiple cameras (e.g., presence or absence of human intrusion during equipment operation).
(2) Designation of areas optimized for the site
→Customers can acquire camera images from the management screen and set up AI learning and danger areas optimized for the site themselves.
(3) Save and retrieve video data, and optimize AI models using on-site video as teacher data
→ You can select the storage location (local/cloud) and storage period, retrieve video data after installation of AI cameras from the management screen, and use on-site video as teacher data to create your own teacher data (annotations) and AI training. The customer can create an AI model optimized for the installed site by retrieving video data after the installation of AI cameras from the management screen and using the on-site video as teacher data for annotation and AI training.
4) AI models/IoT devices can be managed and multiple sites can be monitored remotely
→ AI models and devices can be centrally managed remotely on the management screen, which becomes complicated when AI cameras are installed in multiple areas, and multiple camera images can be displayed as a list view and camera data can be acquired remotely.
5) Your company's services, system linkage, and low-code development are possible.
→ By selecting the notification method from the management screen and developing image recognition AI detection and unique conditions in low-code, you can add value to your products, launch new services, and control production facilities.
<検知通知の設定画面*複数選択可>
<ローコード開発画面> *現在はGAUSS社員のみが利用できる機能だが今後リリース予定
[Issues that can be resolved
No entry to dangerous areas / Detection of use of safety equipment (safety belts, helmets, safety glasses, etc.) / Detection of entry to crane swing range / Congestion detection / Traffic count / Stagger and fall detection, etc.
→Contributes to safety and security at various sites
<混雑検知(人数カウント)・オンラインモードの導入例>
<危険エリア人物侵入検知・オフラインモードの導入例>
