S912ZVHY64F1VLL Allicdata Electronics
Allicdata Part #:

S912ZVHY64F1VLL-ND

Manufacturer Part#:

S912ZVHY64F1VLL

Price: $ 3.19
Product Category:

Integrated Circuits (ICs)

Manufacturer: NXP USA Inc
Short Description: IC MCU 16BIT 64KB FLASH 100LQFP
More Detail: S12Z S12 MagniV Microcontroller IC 16-Bit 32MHz 64...
DataSheet: S912ZVHY64F1VLL datasheetS912ZVHY64F1VLL Datasheet/PDF
Quantity: 1000
1 +: $ 3.19000
10 +: $ 3.09430
100 +: $ 3.03050
1000 +: $ 2.96670
10000 +: $ 2.87100
Stock 1000Can Ship Immediately
$ 3.19
Specifications
Program Memory Type: FLASH
Base Part Number: S912ZVHY64
Supplier Device Package: 100-LQFP (14x14)
Package / Case: 100-LQFP
Operating Temperature: -40°C ~ 105°C (TA)
Oscillator Type: Internal
Data Converters: A/D 4x10b
Voltage - Supply (Vcc/Vdd): 4.5 V ~ 5.5 V
RAM Size: 4K x 8
EEPROM Size: 2K x 8
Series: S12 MagniV
Program Memory Size: 64KB (64K x 8)
Number of I/O: 73
Peripherals: DMA, LCD, POR, PWM, WDT
Connectivity: CANbus, I²C, LINbus, SCI, SPI
Speed: 32MHz
Core Size: 16-Bit
Core Processor: S12Z
Part Status: Active
Packaging: Tray 
Description

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S912ZVHY64F1VLL is a high-end embedded processor from Samsung, based on the ARM Cortex-A53 big.LITTLE processor with four-core ARM Cortex-A7 architecture. It’s designed for a wide range of embedded applications, and it can quickly and reliably handle complex, low-latency tasks with low power consumption. It has received numerous awards in the embedded processor category, making it one of the industry’s most trusted and advanced embedded processors.

S912ZVHY64F1VLL is a highly integrated processor, enabling multiple embedded intelligence functions in one low-power chip. It includes an ARM Cortex-A7 Quad Core Central Processing Unit (CPU) that runs at 1.0-2.2GHz, as well as a powerful graphics processing unit (GPU) with 4K@60fps graphics performance and a variety of on-board peripherals. Together they offer high-performance computing capabilities with low power consumption, making it the perfect choice for applications such as industrial automation, robotics, medical equipment, machine learning, and many more.

The application area of S912ZVHY64F1VLL is broad, but the most popular applications include IoT devices, embedded computers, machine vision, and automotive infotainment systems. For example, it can be used in smart home and industrial automation systems to securely connect devices and perform complex tasks with very low energy consumption. It can also be used in machine vision systems to enable computers to detect and interpret images quickly and accurately. In the automotive sector, it can be used for infotainment systems such as navigation, Bluetooth connectivity, and multimedia playback.

The working principle of S912ZVHY64F1VLL is based on a multi-core computing architecture. It runs ARM-based operating systems, such as Android or Linux, that enable it to divide tasks among its various processor cores. Each core is assigned its own task, which it can then execute independently. This allows the processor to run multiple tasks at once without the need for separate processors to handle the workload. At the same time, the processor can switch between tasks quickly, allowing it to spend more time on a single task while conserving energy. In addition, S912ZVHY64F1VLL has advanced task scheduling capabilities that make it possible to assign different priority levels to different tasks, ensuring that they are handled in the most efficient way possible.

At the same time, S912ZVHY64F1VLL implements a number of advanced technologies such as secure boot, hardware-level encryption, secure debug, TrustZone-based security solutions, software-defined networking (SDN), virtualization, and more. Together, these technologies help ensure that the processor is secure and reliable, no matter what the application.

In short, S912ZVHY64F1VLL is an advanced and reliable embedded processor that is suitable for a wide variety of embedded applications. With its multi-core computing architecture, advanced security features, and power-efficient design, it is an ideal choice for any application that requires low-power computing performance.

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

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