A quick-start tutorial for the chip is provided, and each step of the process from installing the development environment to obtaining the experimental results is introduced in detail to help developers get started quickly.
Provide APIs that support each chip, including the use of Bluetooth, Wi-Fi and other wireless connections, as well as all peripheral APIs built into the CPU. In addition, protocol, storage, and system-level APIs are provided. The complete API documentation can simplify the development and help developers improve development efficiency.
Chip-related component libraries are provided, including file systems, device trees, log components, etc. These component libraries have detailed descriptions and use cases to ensure the in-depth development of chips.
Provid constantly updated QA content helps developers reduce problem resolution time.
BL_MCU_SDK also provides support for RTOS porting, LVGL porting, cloud connections such as AWS, Tensorflow Lite porting and usage, etc., to help developers deploy AI in the IoT field faster and better, and achieve more intelligent interaction and interconnection of intelligent scenarios application.