Allicdata Part #: | CY8CTMG201A-32LQXI-ND |
Manufacturer Part#: |
CY8CTMG201A-32LQXI |
Price: | $ 0.00 |
Product Category: | Integrated Circuits (ICs) |
Manufacturer: | Cypress Semiconductor Corp |
Short Description: | IC MCU 16K FLASH PSOC 32UQFN |
More Detail: | N/A |
DataSheet: | CY8CTMG201A-32LQXI Datasheet/PDF |
Quantity: | 1000 |
1 +: | 0.00000 |
Series: | TrueTouch™ |
Packaging: | Tray |
Part Status: | Obsolete |
Applications: | Touchscreen Controller |
Core Processor: | M8C |
Program Memory Type: | FLASH (16 kB) |
Controller Series: | CY8CT |
RAM Size: | 2K x 8 |
Interface: | I²C, SPI, UART/USART, USB |
Number of I/O: | 28 |
Voltage - Supply: | 1.8V |
Operating Temperature: | -40°C ~ 85°C |
Mounting Type: | Surface Mount |
Package / Case: | 32-VFQFN Exposed Pad |
Supplier Device Package: | 32-QFN |
Base Part Number: | CY8CTMG201 |
Due to market price fluctuations, if you need to purchase or consult the price. You can contact us or emial to us: sales@allicdata.com
CY8CTMG201A-32LQXI is a type of microcontroller unit (MCU), which is a specialized type of processor that is embedded within other devices, mostly those that require very tight control over different operations. This type of MCU is an application-specific MCU that is specifically tailored for use within imaging products like cameras that require both image capturing and image processing capability. This type of MCUs are used in many mobile and handheld devices like mobile phones, vending machines, air conditioners, and more. The CY8CTMG201A-32LQXI is a 32-bit MCU that is based on the ARM Cortex-M3 processor and it is designed for high-end imaging applications.
As its name implies, the CY8CTMG201A-32LQXI is designed for specific applications, like imaging. It is designed to offer comprehensive image processing solutions for various applications, like digital cameras and imaging products. This type of MCU has several advantages over general purpose microcontrollers, such as its higher power efficiency and faster image processing capability. It allows for a more efficient way of processing images, which can be useful for applications like facial recognition and motion detection. The CY8CTMG201A-32LQXI is also capable of achieving higher image resolution, which is necessary in many imaging applications.
The features of the CY8CTMG201A-32LQXI MCU make it ideal for numerous imaging applications. It features an ARM Cortex-M3 processor, with 32KB of flash memory, and 8KB of SRAM. It also includes 10 GPIO pins, I2C, UART, and Timer/Counter pins. It also has a dedicated image coprocessor and dedicated image signal processor. This allows it to achieve very high image resolution. It also supports several image capturing formats, including JPEG, MJPEG, and BMP.
As for the working principle of the CY8CTMG201A-32LQXI, it is quite similar to how a regular MCU works. In general, the main job of a MCU is to control the various hardware components of a device, like motors, clocks, LED lights, and so on. The MCU is usually responsible for executing instructions and making sure that the tasks that it is assigned to do are carried out. In the case of the CY8CTMG201A-32LQXI, the MCU is responsible for capturing and processing images, as well as sending commands to the various hardware components of the device.
When it comes to image capturing and processing, the CY8CTMG201A-32LQXI has several advantages. It has dedicated image coprocessors and image signal processors, which allow it to capture high-resolution images. It is also capable of capturing images with low latency, which is especially important in high-speed imaging applications. Finally, the CY8CTMG201A-32LQXI is capable of carrying out various types of image manipulation and enhancement, allowing for a wide range of applications.
Overall, the CY8CTMG201A-32LQXI MCU is a powerful, efficient, and highly specialized application-specific MCU. It offers great image processing capability and is suitable for many different types of imaging applications. The dedicated image coprocessors and image signal processors allow it to capture and process high-resolution images with low latency. Its features make it the ideal choice for applications like facial recognition, motion detection, and other imaging-related tasks.
The specific data is subject to PDF, and the above content is for reference
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