IBM Maximo® Visual Inspection
IBM Maximo® Visual Inspection
IBM Maximo Visual Inspection is an AI-powered image and video analysis solution within the IBM Maximo Application Suite (MAS). It enables organizations to detect defects, anomalies, and quality issues in real time by using computer vision and machine learning. Maximo Visual Inspection helps automate inspections and monitor assets visually, reducing manual effort and improving accuracy in industries where visual checks are critical to operational safety and product quality.
Key Components of Visual Inspection
AI-Powered Image and Video Analysis
Uses advanced computer vision and AI models to analyze images and video streams from cameras, drones, or mobile devices.
Detects cracks, corrosion, leaks, wear, and other anomalies in assets, equipment, or products.
Can be trained to recognize custom defects specific to an organization's operations.
Model Training Without AI Expertise
Provides a user-friendly interface to train and deploy AI models using labeled images and videos — no AI expertise required.
Supports drag-and-drop datasets, labeling tools, and guided workflows for fast model creation.
Integration with Cameras, Drones, and IoT Devices
Connects to existing camera systems, drones, mobile phones, and industrial IoT devices for flexible data capture.
Enables remote inspections in hard-to-reach or hazardous environments.
Real-Time Defect Detection & Alerts
Monitors assets and products in real time, automatically identifying issues as they occur.
Generates instant alerts and notifications, enabling fast responses and reducing downtime.
Seamless Integration with Maximo Manage & Monitor
Inspection results and detected issues can be linked directly to Maximo Manage for work order creation.
Integrates with Maximo Monitor for real-time asset monitoring and health assessments.
Automate Visual Inspections with AI-Powered Precision
Automate Visual Inspections with AI-Powered Precision
Naviam brings IBM Maximo Visual Inspection to life—helping you detect defects in real time, reduce manual effort, and improve safety and quality with computer vision.
.png)