Periodic Reporting for period 2 - Nyris (Transforming industrial part replacement and after sales through visual search and synthetic images)
Período documentado: 2022-09-01 hasta 2023-08-31
In the project’s second year, we achieved significant milestones. Successful pilot trials were conducted, some of which have transitioned into paid licenses, marking a pivotal achievement. Our active participation in various fairs, including invitations from customers to jointly showcase our product, amplified our market presence. Our engagement with the press and research communities was robust, securing features in prominent general and specialized publications such as Tagesspiegel, Wirtschaftswoche, WDR, and VDM magazine, enhancing our visibility and engagement with our target audience.
Technologically, we attained a state-of-the-art visual search performance, applying innovative techniques like conditional latent diffusion models for synthetic data generation. Strategic steps were taken to protect our intellectual property, including filing a patent and securing the trademark "visual synonyms."
A crowning achievement was attaining ISO 27001:2022 certification. This certification is a testament to our steadfast commitment to data privacy and security, essential requirements in the industrial sector. It not only boosts the trust of our existing customers but also enhances our appeal to potential customers, underscoring our adherence to stringent data protection standards.
Furthermore, our synthetic data, generated through this rapid synthesization process, is enhanced with conditional latent diffusion, contributing to achieving search accuracy that is above the current state of the art. This innovative enhancement not only amplifies the accuracy of visual searches but also underscores our commitment to pushing the boundaries of technological excellence in visual search capabilities.
Through conducted study involving 55 selected candidates, we unveiled that visual search is exponentially faster and more successful compared to conventional keyword-based searches. The study revealed that visual search is 3.3 times faster and 51% more successful, marking a significant advancement in search efficiency and accuracy for spare parts.