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IOT Camera - List of Manufacturers, Suppliers, Companies and Products

IOT Camera Product List

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Completely wireless explosion-proof IoT camera LC-EX10

Completely wireless explosion-proof IoT camera LC-EX10

From now on, even explosion-proof areas will be "Instant DX."

A super lightweight, super compact, battery-operated explosion-proof camera is now available. After about three and a half years since its release, approximately 4,500 units have been introduced in about 600 facilities and around 300 departments*1 in Japan. The explosion-proof model of the cutting-edge remote inspection tool, the "LC Series," is launching this spring. With battery operation and built-in LTE mobile network, it can be set up immediately without the need for power or network installation. We provide everything from the web browser software (LiLz Gauge) in one go, so there is no need for complicated programming or ladder creation. It is the optimal solution for "instant DX" that does not stop improvements on-site.

  • Other measurement, recording and measuring instruments

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Case Study: Streamlining Patrol Inspection Operations Using IoT Cameras

Case Study: Streamlining Patrol Inspection Operations Using IoT Cameras

Applying IoT cameras to inspection and monitoring tasks, digitizing meter readings through AI image recognition to streamline maintenance operations. Achieving trend monitoring and management.

■About the Whole Smart Security Service The Whole Smart Security Service is an O&M (Operation & Maintenance) service that utilizes IoT and AI technologies. By leveraging IoT and AI technologies, it supports the optimization of equipment maintenance, from planning maintenance strategies to monitoring equipment and proposing maintenance management measures.

  • Surveillance Camera System

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LiLz Guard Easy DX IoT Camera Link

LiLz Guard Easy DX IoT Camera Link

Flexible and adaptable! An abnormal detection tool capable of instant DX, fully wireless IoT camera integration, nurturing abnormal detection AI.

Visualizing "Huh? It's different from usual" By simply registering normal images, the AI quantifies and distinguishes the "degree of difference from usual" in the captured images. You can also improve the accuracy of quantification by adding more normal images. In locations where it was difficult to install conventional cameras, differences from normal images are quantified, allowing for the quantification of qualitative abnormal state information.

  • Color camera

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