SENSYN ROBOTICS Inc., a leading company in social infrastructure digital transformation, is pleased to announce that it has added a new “automatic sorting function” that automatically links photographic data to each piece of equipment to “SENSYN CORE Datastore,” a data management function within the AI application development platform “SENSYN CORE,” and has begun offering an updated version.
In the past, patrols and inspections were typically performed by on-site personnel who discovered abnormalities using their five senses and then recorded and managed them manually. However, in recent years, the use of smartphones, portable camera devices, drones and other robots, as well as network-enabled cameras and sensors, has led to the automatic acquisition of on-site data, complementing or replacing human senses.
On the other hand, while the widespread use of these devices has made it possible to obtain large amounts of data, proper management and analysis have become an issue. For example, traditional inspection work at plants typically involves determining the targets for inspection, taking photographs on-site, organizing the data, analyzing the results, and then identifying and requesting secondary inspection locations. In such work, data is often linked based on the names of the target locations, equipment, and facilities, and managed as reports that reflect on-site evaluations.
こちらもお読みください： 株式会社ミツウロコグループホールディングスは、運用管理受託クラウドサービス "Hubble "を導入しました。
Since acquired data is often organized primarily in chronological order, it is necessary to manually identify “when” and “where” the data was acquired and re-link it to the target equipment or location that was previously set. This increased workload is creating a new challenge in data management.
SENSYN Robotics has previously offered automatic data sorting technology using the AI application development platform “SENSYN CORE.” With this latest update, the function has been enhanced to a more versatile “automatic sorting function” by utilizing image metadata that describes the shooting location and direction, making it possible to automatically classify and store images acquired from devices by equipment and folder. This eliminates the need to organize photographed data, and allows for smooth confirmation and judgment of target equipment, leading to more efficient work.
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