What challenges did Japan Airlines Co., Ltd. face before AI implementation?

Saunas are privacy-sensitive and traditional AI camera surveillance was impractical. They needed specialized sensors, a robust backend for large volumes of real-time data, and Alibaba Cloud infrastructure that met JAL Group security standards while remaining cost-effective.

What was the impact of the AI solution?

Testing and user research showed predominantly positive user feedback. Remote visibility into occupancy helped facilities re-evaluate and adjust patrol frequency, reducing staffing burden late at night.

Source

AlibabaProductionEvidence: Medium55/100

Japan Airlines (JAL) / AQTIA: 3D LiDAR-based real-time sauna occupancy monitoring on Alibaba Cloud

Use case typeReal-time analyticsUpdated Jun 6, 2024

Japan Airlines Co., Ltd. (JAL) and AQTIA launched TOKYO SAUNIST, a cloud-based service for sauna room occupancy monitoring. The system uses a 3D LiDAR sensor installed in front of the sauna room to detect the number of people, collect data in the cloud, and visualize congestion in real time for users and facility managers.

Organization: Japan Airlines Co., Ltd.
Industry: Consumer & Food
Location: Japan
Published: June 2024

Reported outcomes

Strategic outcomes

Customer experience & trustImproved sauna congestion visibility for safer, more comfortable visitsCost efficiencyReduced staffing burden through remote occupancy visibility

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Japan Airlines Co., Ltd.
Provider: Alibaba
Maturity: Production
Linked source: Alibaba Cloud Customers

Deployed 3D LiDAR sensors to count people individually

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

1Real-time analytics
2Safety monitoring

Saunas are privacy-sensitive and traditional AI camera surveillance was impractical.
They needed specialized sensors, a robust backend for large volumes of real-time data, and Alibaba Cloud infrastructure that met JAL Group security standards while remaining cost-effective.

Deployed 3D LiDAR sensors to count people individually.
Used Alibaba Cloud ECS, EIP, ApsaraDB RDS for PostgreSQL, NAT Gateway, Server Load Balancer, OSS and related network/security components to host, store and analyze real-time occupancy data.
Provided dashboards and a smartphone app for users and facility managers.

Technologies

Alibaba Cloud ECS Elastic IP Address ApsaraDB RDS for PostgreSQL NAT Gateway Server Load Balancer Object Storage Service Alibaba Cloud

Testing and user research showed predominantly positive user feedback.
Remote visibility into occupancy helped facilities re-evaluate and adjust patrol frequency, reducing staffing burden late at night.

Architecture

3D LiDAR sensors in front of sauna rooms feed occupancy data to Alibaba Cloud. The solution uses ECS, EIP, ApsaraDB RDS for PostgreSQL, NAT Gateway, Server Load Balancer and OSS to store, analyze and visualize real-time congestion for users and facility managers, plus a smartphone app.

Sources & evidence1

Evidence: Medium55/100Evidence strength