Industrial Image Low-Cost Storage Solution: Reduce Storage Costs by Up to 50% and Retain Data for Up to 20 Years

Amid accelerating digital transformation in enterprises, image data is becoming an essential asset for ensuring product quality and production safety. To support defect detection and traceable quality management, companies need to capture images at critical points along the production line and retain this data for 5 to 20 years. These high-value images serve as a key foundation for process tracing and quality analysis, as well as a central data asset for driving smart manufacturing and improving operational efficiency.

However, as the volume of image data continues to grow, companies face challenges such as high bandwidth usage, low efficiency in structured processing, limited storage capacity, and rising costs. To address these issues, XingTu XinKe has partnered with mCloud to launch the Industrial Image Low-Cost Storage Solution. Leveraging advanced image and video compression technologies, the solution can reduce the size of quality inspection images by 2–6×, resulting in an overall storage cost reduction of 30%–50%.

The Industrial Image Low-Cost Storage Solution provides efficient and intelligent image compression and processing capabilities, meeting the demands of large-scale, long-term storage. It helps production lines store more images for longer periods, while optimizing storage costs.

1.Cost Savings

Quality inspection images can be compressed 2–6×, reducing storage space usage by 50%–83% and cutting overall storage costs by 30%–50%.

2.High-Efficiency, Scalable Processing

A single node can process tens of millions of images per day, with cluster size flexibly expandable according to production line requirements.

3.Near-Lossless Compression Compliant with Inspection Standards

Images maintain near-original clarity after compression, supporting industrial quality inspection and traceability requirements.

4.Automated Scanning

Automatically scans images stored in the system and compresses them, overwriting the original files after compression to support automated enterprise workflows.

5.Wide Compatibility

Supports JPG, JPEG, BMP, PNG, WebP, TIFF, BITMAP, LZW, RAW, and RGB image formats.

Compatible with NFS, S3, and FC SAN protocols, as well as mainStream distributed storage and cloud storage systems.

6.Intelligent Operation & Maintenance

Monitors system and device status in real time and provides timely alerts.

Supports automatic fault detection and failover to ensure continuous business operation.

Case Study

A manufacturing company uses high-definition industrial cameras to capture images across its production lines and needs to retain the image data for 15 years for defect detection and quality traceability. One production line captures approximately 8 million images per day, and the long-term storage of such a large volume of images led to insufficient server room capacity and high expansion costs.

Leveraging the high-efficiency, intelligent industrial image compression technology in this solution, key process images are compressed at 3× near-lossless compression, while standard production line images are compressed 4–6× with near-lossless quality, resulting in an overall Storage Saving of approximately 80%. This effectively reduces costs associated with storage infrastructure and maintenance.

The solution has been field-tested and deployed across multiple user sites, receiving strong recognition from customers.