Cypress PSoC 4 prototyping kit streamlines upgrades of MCU designs

A new PSoC 4 prototyping kit from Cypress Semiconductor has been developed that will enable embedded system design engineers looking to upgrade their 8- and 16-bit legacy designs to a 32-bit ARM CPU to do so for just a few dollars. The CY8CKIT-049 Prototyping Kit enables designers to leverage the powerful 32-bit ARM Cortex-M0 core, programmable analogue and digital peripherals, and the industry-leading CapSense capacitive touch-sensing technology of Cypress’s PSoC 4 architecture.

The kit can be used for both prototyping and production and comes with Cypress’s free, easy-to-use PSoC Creator Integrated Design Environment (IDE), which features hundreds of example projects to enable rapid product development.

“Cypress has shattered the barrier for entry into 32-bit ARM designs with what believe to be a compelling combination of price and performance,” said John Weil, Senior Director of PSoC Marketing and Applications at Cypress. “Our new $4 prototyping kit delivers the industry’s most mixed-signal technology per square inch compared to competing boards. Designers can use it to quickly create prototypes leveraging our custom hardware programmability with PSoC Creator.”

The 3.59-inch by 0.95-inch CY8CKIT-049 Prototyping Kit provides access to all of the I/Os on these PSoC 4 devices, allowing for fast, simple programming via an on-board bootloader through Cypress’s USB-Serial Bridge Controller with a unique snap-away design. The PSoC Creator IDE complements the kit and silicon with more than 100 pre-verified, production-ready components—free embedded ICs represented by an icon—that can be dragged and dropped into designs.    

PSoC 4 is Cypress’s newest ARM-based PSoC architecture, featuring the low-power Cortex-M0 core combined with PSoC’s programmable mixed-signal hardware IP, providing a flexible and scalable low-power mixed-signal architecture.

www.cypress.com

 

 

Check Also

Rollout of windshield breakage detection IoT device

MUNIC, the specialist in artificial intelligence and embedded technologies for the automotive and fleet sectors, …