IBM Inspection Workbench vs MonoM

IBM Services Software Inspection Workbench is a native iOS or iPadOS mobile app that works with IBM Maximo Visual Inspection to enable the labeling of images used to train Core ML computer vision models using an iPhone or iPad with Apple Pencil on compatible devices. Once models are trained on the server, IBM Inspection Workbench can deploy those models in real time to the IBM Services Software Inspector Portable app and the IBM Maximo Visual Inspection Mobile app and create or update relevant inspections, all from one native iOS or iPadOS experience. IBM Inspection Workbench introduces the concept of inspection procedures that enable multiple inspections to be conducted as a progression of steps. Procedures can be created, edited, and published from IBM Inspection Workbench. Published procedures can run on the IBM Inspector Portable app. IBM Inspection Workbench provides the following features: · Provides an end-to-end iOS or iPadOS native experience for labeling images and commencing of AI training jobs · Creates, edits and publishes inspections to remote devices running the IBM Inspector Portable app and the IBM Maximo Visual Inspection Mobile app · Creates, edits and publishes multiple inspections in a sequential order as part of a procedure that can run on the IBM Inspector Portable app · Discovers which models have been deployed on remote devices running the IBM Inspector Portable app and IBM Maximo Visual Inspection Mobile app · Commences a procedure manually by entering a unique reference, scanning a barcode, or using optical character recognition (OCR); or have external systems automatically initiate a procedure by using the MQ Telemetry Transport (MQTT) edition of Inspector Portable · Leverages advanced features of iOS or iPadOS including Core ML, iBeacon and Apple Pencil on compatible devices

AIoT platform capable of collecting all the data from machines, assets and different sources of information that exist in the industry or smart cities and transforming it into simple, useful and manageable information. This directly triggers an automated and intelligent process (integrates models based on ML and DP in the flow) of alerts that allows continuous and real-time control, and of course, facilitates decision making. Estés donde estés, podrás hacer un seguimiento de alertas y notificaciones y ver las acciones correctivas realizadas. ¿Necesitas llevar un control de los KPIs de tu planta? ¿Necesitas conocer el estado de salud de tus activos y predecir posibles fallos o errores de proceso? Entonces, la Plataforma AIoT de MonoM es la solución.