Integrating Maximo Visual Inspection with Maximo Visual Inspection Mobile

Maximo® Visual Inspection Mobile is an iOS or iPadOS mobile application that brings the capabilities of IBM Maximo Visual Inspection to the edge and rapidly enables visual inspections on mounted or handheld devices.

Maximo Visual Inspection Mobile uses the models that are trained on IBM Maximo Visual Inspection and does the inferencing by using the integrated camera on an iOS or iPadOS device. The app can run models remotely or can use Core ML models that are exported from IBM Maximo Visual Inspection, which enables local inferencing on-device without requiring network connectivity.

Overview of Maximo Visual Inspection Mobile

Maximo Visual Inspection Mobile has the following capabilities:

Perform local and remote inferencing on object detection and image classification models that are trained on IBM Maximo Visual Inspection.
Take photos and upload them to IBM Maximo Visual Inspection for model training and refinement.
Monitor inspection performance for each device and its location by using an integrated reporting dashboard.
Provide remote management and configuration of Maximo Visual Inspection Mobile instances that run on remote devices.

Latest enhancements

The past few versions of the Maximo Visual Inspection Mobile contain these features and improvements:

Expanded model support to include YOLO v3.
AI-based triggering of inspections, which is known as Visual Trigger. For more information, see Visual Trigger.
Support for a barcode reader and optical character recognition (OCR). For more information, see Barcode and OCR Trigger.
Sending inference results to a secondary inspection, which is also known as pipelining. For more information, see Creating inspections.
Ability to add AND|OR logic rules to inference results. For more information, see Creating inspections.
Customizable MQTT notification messages. For more information, see Configuring MQTT.
Enhanced remote manager, including device battery status.
Enhanced dashboard features.

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