PixoAnalytics' technology is unique in its approach to fraud prevention and item identification due to several key factors: 1. Surface structure recognition: The technology utilizes the natural, unique "fingerprint" of an item's paper or material structure for identification, similar to human fingerprints.2. No additional identifiers: Unlike traditional methods, PixoAnalytics doesn't require embedded tags, chips, markers, or special hardware. It can identify items using just their existing surface patterns.3. High accuracy and speed: The algorithm can identify an object among billions of others in milliseconds, with a reported 99.9% precision for applications like fake medicine detection.4. Versatility: The technology can be applied to various items, including letters, parcels, medications, fabrics, plastics, and even expensive art or luxury products.5. Environmental friendliness: As it requires no additional markings or materials, PixoAnalytics' solution has no environmental footprint, making it sustainable and ideal for circular economy projects.6. Cost-effectiveness: The system only needs a standard camera or scanner, resulting in low investment requirements for implementation.7. Tamper-proof: Since the identification is based on the inherent structure of materials, it cannot be exactly copied or reproduced, making it highly secure against fraud.
