Dhiraj Patra·4d agoHow to Convert Tensoflow/Keras Model to the ONNX FormatTo convert a TensorFlow/Keras model to the ONNX format, the industry-standard tool is tf2onnx.
InAxonect BlogbyAxonect Engineering·Oct 21TinyML: Bringing Machine Learning to the Edge of PossibilityBy Ruvindi Mudalige
Sam Austin AI·Sep 29TensorFlow Lite for Android: On-Device ML in Mobile AppsHere’s something that’ll save you a confusing afternoon: if you’re searching for “TensorFlow Lite” in 2026, you need to know it’s not…
Bolot Kalil uulu·Sep 17From Python to Flutter: User-Selected Object Recognition on a Mobile DeviceHow I moved my computer vision experiment from Python to Flutter and made it work on a real phone. In my previous experiment, I worked on…A response icon1A response icon1
Dileepa Prabhath·Aug 28How Transfer Learning Helped Me Train a Currency Note Classifier for Raspberry PiWhen I started working on CashMaster6688, a microcontroller-based currency sorting system for our 1st year hardware project, one of the…
Emmanuel O. (TOE Tech) — Mobile & Systems Engineer·Aug 17Deploying TensorFlow Lite for Stroke-Order Biometric Verification in FlutterStatic signature verification is fundamentally broken.
InAI That ShipsbySankalp satpute·Aug 7Stop Guessing Sensor Thresholds: Start Learning Patterns with TinyMLWe’ve spent decades teaching microcontrollers to follow rules. TinyML teaches them to recognize patterns — unlocking a new generation of…
Kamal Maurya·Jul 23How I Built a Secure, On-Device Face Attendance App with Flutter, ML Kit, and TensorFlow LiteBuilding a low-latency, privacy-first facial recognition pipeline that runs 100% offline.
Saeed Hoss·Jun 1Hardening the MobileNet TFLite Toolkit (Medium-safe test)This is a follow-up to my two earlier articles, Creating Quantized Multi-Task MobileNet V3 Models for Edge Deployment and From Multi-Task…
