N87C581SF76

Program Memory Size:	32KB (32K x 8)
Supplier Device Package:	44-PLCC
Package / Case:	44-LCC (J-Lead)
Operating Temperature:	0°C ~ 70°C (TA)
Oscillator Type:	External
Data Converters:	--
Voltage - Supply (Vcc/Vdd):	4 V ~ 6 V
RAM Size:	256 x 8
EEPROM Size:	--
Program Memory Type:	OTP
Series:	87C
Number of I/O:	32
Peripherals:	--
Connectivity:	SIO
Speed:	16MHz
Core Size:	8-Bit
Core Processor:	MCS 51
Part Status:	Obsolete
Packaging:	Tube

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

Introduction

N87C581SF76 is an embedded microcontroller with a 32-bit ARM Cortex-M3 core operating at up to 50MHz. It provides an array of advanced features, including 256kb of Flash and 8Kb of RAM, as well as data transfer, analog-to-digital conversion, and real-time control capabilities. The device is designed for use in a variety of embedded applications, including hardware/software integration, power control, signal processing, industrial automation, home automation, medical instrumentation, consumer electronics, and automation.

Application Field

N87C581SF76 is designed for use in intelligent embedded applications. Its advanced features make it well-suited for a variety of applications, including automotive control, self-driving robots, drones and consumer electronics. It is highly efficient and reliable due to its tight integration with hardware and software design. Additionally, its multi-protocol communication capabilities and advanced vision processing capabilities make it suitable for applications such as facial recognition, object detection and tracking, and gesture control.The device is well-suited for industrial applications such as automotive production lines and factory automation. Its high computing power and automated control capabilities make it suitable for controlling robotic arms and manufacturing processes. Additionally, its advanced vision capabilities make it suitable for automation applications such as collision avoidance, inspection, and sorting.The device is suitable for home automation applications such as HVAC control and security systems. Its automated control capabilities allow it to monitor and control systems in real time. It is ideal for applications such as energy management systems, lighting control systems, and smart appliances. Additionally, its network capabilities make it suitable for home automation applications such as home energy monitoring, automated home security systems, and home entertainment systems.

Working Principle

The N87C581SF76 is based on the ARM Cortex-M3 architecture. This architecture provides a combination of low power consumption and high performance. It includes a 32-bit instruction set and Harvard architecture, which allows instructions and data to be processed simultaneously. This is ideal for applications that require a high level of data processing.The device has an array of onboard peripherals, including two UARTs, a CAN controller, and four I2C buses. It also has network capabilities, including support for Ethernet, CAN, and CAN BUS. These peripherals enable tight integration between hardware and software creating a low-power and highly efficient embedded solution.The device has a dedicated vision processor, which supports image processing features such as face recognition, object detection, and tracking. Additionally, it supports real-time control, making it well-suited for applications requiring real-time control and monitoring. This is ideal for automotive and robotics applications.

Conclusion

The N87C581SF76 is an embedded microcontroller with a 32-bit ARM Cortex-M3 core operating at up to 50MHz. It is well-suited for embedded applications such as automotive control, self-driving robots, drones and consumer electronics. Its advanced features, including 256kb of Flash memory, 8Kb of RAM, data transfer, and real-time control capabilities make it suitable for intelligent embedded applications. It also has an array of onboard peripherals for tight integration between hardware and software creating a low-power and highly efficient embedded solution. Its network capabilities and advanced vision processor make it suitable for applications such as facial recognition, object detection and tracking, and gesture control.

The specific data is subject to PDF, and the above content is for reference

Part Number	Manufacturer	Price	Quantity	Description