STM32 F0x1 offers better user experience with high integration
STM32F0x1 microcontrollers are intended for 8- and 16-bit applications where 32-bit performances are required such as home-entertainment products, appliances and industrial equipment. The portfolio covers from 16 to 256 Kbytes of on-chip Flash memory, up to 32 Kbytes of SRAM, and several communication interfaces including USART, SPI, I²C, HMDI CEC and 16-bit PWM motor control timer. The package offer covers from 20- to 100-pin packages.
The latest addition to ST’s STM32 F0x1 series, the STM32F091, comes with up to eight USARTs among versatile packages from 48- to 100-pin, including low-thickness WLCSP and BGA variants. Its 256Kbytes on-chip Flash memory and 32 Kbytes SRAM allow Java stack implementation, and the CAN 2.0a/b brings further communication capability for industrial or in-car audio applications.
The STM32L5 is based on Arm® Cortex-M33 and TrustZone® technology combined with STMicroelectronics security implementation. On your STM32L562E-DK discovery board, TrustZone is disabled (factory setting) and you can develop as on any other STM32 device. This video shows how to enable TrustZone on STM32L562E-DK discovery using STM32CubeProgrammer and create, compile and debug or run a new project with STM32CubeIDE. It also shows how to open an example project delivered in STM32CubeL5 MCU Package, modify, compile and debug or run it. For further information, you can refer to AN5394 and AN5424 application notes.
MadeForSTM32™ is a new quality label delivered by ST, which is granted after an evaluation process. It helps engineers identify third party solutions with the highest level of integration and quality for the STM32 microcontrollers' ecosystem. MadeForSTM32™ is offered to members of the ST Partner Program who want to go one step further in our collaboration, with the overall objective of contributing to a high-quality STM32 ecosystem.
The STM32Cube.AI is an extension pack of the widely used STM32CubeMX configuration and code generation tool enabling AI on STM32 Arm® Cortex®-M-based microcontrollers.