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Block Diagram

Example banner Fig-2: Block diagram of TML120 Module

The TML120 XENO+ Tiny ML Module is packaged with ARM Cortex M23 MCU for managing the ML processor as per the customer’s target use case applications. The ML processor can run multiple audio and time-series sensor data machine learning applications simultaneously with minimal power consumption. The key benefits of XENO+ ML Module are:

  • The customers can save up to 40% of hardware and software development time.
  • The PC Flashing tool offered along with TML120 module helps the Customers with one-time factory level configuration and binary files flashing and thus reduced Embedded SW development time.
  • The ML Processor can run multiple Deep Neural Networks (DNN) on variety of architectures such as CNNs, RNNs and fully connected networks up to 256 layers.
  • The customers can leverage loading multiple variants of binary files and DNN ML Model binaries run time.
  • The customers can quickly target TML120 for variety of Audio and Sensor ML use cases on the same device infuture.