BioWavePass Blogs

“We already have our own backend. Can the terminal simply scan a palm and return the biometric data for us to process?” This is a practical question for teams building palm vein payment, customer identification or access applications. Many developers expect a biometric SDK to work like a camera interface: capture the data, return it to the application and let...

Your development team has implemented AES-256-GCM encryption. The algorithm server also uses AES-256-GCM. Yet an encrypted palm image still fails to process. Why? Using the same encryption algorithm does not automatically mean that the client and server exchange data in the same format. For a BioWavePass large-scale palm vein integration, successful image encryption depends on three things working together: the...

Before investing in a large-scale palm vein recognition system, product and development teams need to answer a practical question: How can we test the technology before purchasing an algorithm licence? BioWavePass provides a public-cloud test environment, a large-scale SDK and a Demo so customers can evaluate the registration and identification workflow before purchasing the large-model algorithm package. Once the team...

BioWavePass’s large-scale palm vein SDK supports two integration routes: connecting directly to the Algorithm Server, or connecting through your own backend. Both require a valid server URL and the response format expected by the SDK. This choice determines where requests are routed and how your development team connects biometric registration and identification to its business platform. For companies building palm...

Before introducing palm vein authentication into a production environment, IT teams need to know who will access their servers, what permissions are required and whether that access will continue after installation. These questions are especially relevant when a palm vein payment platform connects biometric terminals with customer accounts and payment workflows. BioWavePass provides free remote deployment support for its large-model...

A palm vein payment pilot may begin with a few terminals and a limited group of users. As the project grows, one infrastructure question becomes increasingly important: Should your palm vein recognition system run on a single server or a Kubernetes cluster? The answer starts with your expected registered user population and expansion plans. A larger infrastructure investment is not...

Your pilot has demonstrated the user experience. The next question is how to operate the terminals across multiple locations. Who will prepare new devices? How will applications be distributed? What can a support team do when a terminal needs attention? Can the management platform run on your own infrastructure? For a BioWavePass project, these questions should be answered alongside hardware...

A successful Palm Vein Recognition deployment needs to support more than today’s matching requirements. It should also be prepared for server failures, lost biometric feature data and future algorithm upgrades. One integration decision can support all three: securely retain the original RGB and infrared palm images during registration. These images provide the source data needed to extract biometric features again....

In a palm payment system, recognition accuracy is important, but the overall user experience also depends on how efficiently the biometric technology works together with the payment application. BioWavePass has introduced a new non-streaming firmware, v2.4.4, for the palm recognition module used in the AirOne Palm Payment POS. The change itself is small: instead of continuously streaming camera data, the...

Web applications are effective at managing users and business workflows. Connecting one to a USB palm vein scanner requires an additional software layer, because BioWavePass does not currently provide a Web SDK for direct browser integration. For a Windows deployment, developers can use the C++ SDK to build a local program that the web application calls. Running that program as...