Accurate and timely insight optimizes quality

Traditional production quality inspections are expensive, time-consuming and error-prone. Advanced analytics, machine learning and AI technologies powered by IBM Watson IoT™ can help identify potential quality problems earlier and more definitively than ever before. Apply the benefits of Industry 4.0 to reduce defects, lower costs, and ultimately improve production yields.


Improving quality management in manufacturing

Actual quality-related costs can be as high as 15 to 20 percent of sales revenue and 40 percent of total operations. Learn how AI is becoming the eyes and ears of quality management.

Improve product and process quality

Find quality problems faster – and reduce costly false alarms. Get credible alerts you can act on quickly, using far fewer data points, to improve quality.

Product and process quality

Identify visible defects faster

Bring the power of AI to your inspection line. Accurately see where the points of failure are so you can continuously improve over time.

Visual inspection for quality

Tune into acoustic data to detect defects

Combine acoustic data with machine learning and AI technology to recognize and detect quality defects and equipment malfunctions. Predict failures so your factories are safer, smarter and more efficient.

Acoustic inspection for quality

Products behind this solution

IBM Prescriptive Quality on Cloud

Use prescriptive analytics to improve the quality of manufacturing processes, materials, components and products

IBM Visual Insights

Transform visual inspection to reduce production costs, using machine learning, edge processing, image capture and human expertise

IBM Acoustic Insights

Use AI algorithms for real-time acoustic recognition and early detection of equipment degradation

Client success

LCD manufacturer improves quality inspections

To take production to the next level, Shenzhen China Star Optoelectronics Technology Co., Ltd. partnered with IBM to accelerate and automate product inspections — boosting production quality and throughput, while cutting costs

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