IBM Maximo Visual Inspection is an AI-powered computer vision solution in the Maximo Application Suite. It uses image and video analysis to detect defects, anomalies, and quality issues in real time—helping organizations automate inspections, reduce manual effort, and improve accuracy across safety-critical operations.

The solution uses AI and deep learning models to analyze images or video from cameras, drones, or IoT devices. It identifies defects like cracks, corrosion, or leaks and sends alerts instantly. It’s designed for users without coding or AI expertise.

Yes. Maximo Visual Inspection includes an intuitive interface for labeling, training, and deploying models—no programming required. Users can upload datasets, label images, and train AI models with guided workflows for fast results.

It can identify visual anomalies such as cracks, corrosion, leaks, surface damage, and structural wear. The system can also be trained to recognize custom defects unique to specific assets, industries, or production environments.

Maximo Visual Inspection integrates seamlessly with Maximo Manage to automatically create work orders and with Maximo Monitor for real-time performance insights. Organizations using Naviam Cloud+ can unify these apps under one managed environment for simpler deployment and monitoring.

It can run on-premises, in the cloud, or on the edge using Red Hat OpenShift®. Many organizations deploy it through Naviam Cloud+ for managed hosting, high-performance GPU support, and simplified integration with cameras and IoT devices.

Industries that rely on visual inspections—like manufacturing, utilities, oil and gas, transportation, and infrastructure—gain significant value. It’s ideal for detecting defects in assets, pipelines, rail systems, and production lines where accuracy and uptime are critical.