MxApprove vs IBM Maximo Visual Inspection

MxApprove by A3J Group, LLC is a mobile workflow inbox for IBM Maximo Asset Management. Users of IBM Maximo need to approve or reject various system records as they go through standard lifecycles. Examples include approval of Purchase Requisitions to support non-stock purchases for Work Order planning, revisions of Contracts and Purchase Orders, electronic approval of Invoices, revisions of Job Plans, etc. Many times, administrators of IBM Maximo utilize the system's electronic workflow capabilities to standardize and automate the lifecycle of these records. At times during these lifecycles, assignments are made to individuals or groups that require review and approval or rejection of the assignment. That's where MxApprove comes in. Standard functionality within IBM Maximo has users log into the web application on their desktop to access their Assignments Inbox. From there users review and act on those records. In the world of management today, who has time to constantly sit down at their desk and monitor their IBM Maximo inbox? MxApprove allows users to access their inbox, review the records that are assigned to them, and accept, reject, and reassign assignments. All on the go, and all using the authorized IBM Maximo API's. Visit http://a3jgroup.com/mxmobile/ for more information, including the video tutorial.

IBM Maximo Visual Inspection app is designed to bring the capabilities of IBM Maximo Visual Inspection server to the edge and rapidly enable visual inspections, whether devices are mounted in fixed locations or are hand-held. It takes complex computer vision models developed on IBM Maximo Visual Inspection server, the end-to-end, point-and-click deep-learning platform, and performs inferencing using an iOS/iPadOS device and its integrated camera. The app can even run Core ML models exported from IBM Maximo Visual Inspection server, which enables local inferencing on-device without requiring network connectivity. Specifically, IBM Maximo Visual Inspection app works by: • Leveraging object detection and image classification models trained on IBM Maximo Visual Inspection server for remote inferencing or exported to Core ML for local inferencing • Monitoring inspection performance down to each device and its location via an integrated reporting dashboard when multiple devices have been deployed • Providing remote management and configuration of IBM Maximo Visual Inspection apps running on remote devices using an integrated supervisor capability • Empowering individuals within enterprises to take action in real-time by leveraging IBM Maximo Visual Inspection app to determine if defects, damage or other anomalies exist • Delivering instant, actionable notifications to recipients via SMS as well as to other systems by using MQTT