Revisiting What We Always Explain to Our Customers

Image Recognition-Based Individual Identification: A Tag-Free Traceability Revolution
AI is a technology that replicates and extends human intelligence through computers. GAZIRU provides a "solution for individually identifying products and parts that look so similar they are indistinguishable to the human eye, using image recognition technology."
Why Is Individual Identification Important?
In manufacturing, particularly in the aerospace and automotive industries, "traceability"—the ability to track the origin and history of parts—is essential. A system that can identify only the necessary targets during recalls, rather than requiring a complete recall of all products, plays a crucial role in both quality assurance and cost reduction.
Traditional Individual Identification Methods and Their Challenges
Currently, widely used methods include:
- Serial number engraving
- Barcodes and QR codes (2D codes)
- RFID tags
While these methods are effective, they face a significant challenge: "tagging small parts or special materials is difficult." For products that cannot be tagged, ensuring complete traceability remains challenging.
A New Approach Using Image Recognition
GAZIRU's technology captures microscopic individual differences on product surfaces with a camera and "achieves non-invasive, modification-free individual identification through image recognition and matching." This enables traceability without tags, even for small parts and complex shapes.
Enabling traceability without tags.
This innovation also connects to future manufacturing environments, such as unmanned factories and space development.
GAZIRU's Vision for the Future
Through image recognition-based individual identification, GAZIRU aims to support quality assurance and efficiency in manufacturing while contributing to next-generation smart factories and the space industry.
Keywords: Image Recognition, Individual Identification, Traceability, Manufacturing DX, Unmanned Factory, RFID Alternative, AI Quality Management