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ML610Q112-NNNTCZ07FL

ML610Q112-NNNTCZ07FL

Manufacturer No:

ML610Q112-NNNTCZ07FL

Manufacturer:

Description:

IC MCU 8BIT 32KB FLASH 32LQFP

Datasheet:

Datasheet

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ML610Q112-NNNTCZ07FL Specifications

  • Type
    Parameter
  • Supplier Device Package
    32-LQFP (7x7)
  • Package / Case
    32-LQFP
  • Mounting Type
    Surface Mount
  • Operating Temperature
    -40°C ~ 105°C (TA)
  • Oscillator Type
    Internal
  • Data Converters
    A/D 8x10b
  • Voltage - Supply (Vcc/Vdd)
    2.7V ~ 5.5V
  • RAM Size
    2K x 8
  • EEPROM Size
    -
  • Program Memory Type
    FLASH
  • Program Memory Size
    32KB (16K x 16)
  • Number of I/O
    25
  • Peripherals
    POR, PWM, WDT
  • Connectivity
    I²C, SSP, UART/USART
  • Speed
    8MHz
  • Core Size
    8-Bit
  • Core Processor
    nX-U8/100
  • DigiKey Programmable
    Not Verified
  • Packaging
    Tray
  • Product Status
    Last Time Buy
  • Series
    ML610100
The ML610Q112-NNNTCZ07FL integrated circuit chips have several advantages and application scenarios:Advantages: 1. High Performance: These chips are designed to deliver high performance with low power consumption, making them suitable for various applications. 2. Neural Network Processing: The ML610Q112-NNNTCZ07FL chips are specifically designed for neural network processing, enabling efficient and fast execution of machine learning algorithms. 3. On-Chip Memory: These chips have on-chip memory, which reduces the need for external memory and improves overall system performance. 4. Low Latency: The chips offer low latency processing, making them suitable for real-time applications that require quick decision-making. 5. Compact Size: The ML610Q112-NNNTCZ07FL chips are compact in size, allowing for easy integration into various devices and systems.Application Scenarios: 1. Edge Computing: These chips are ideal for edge computing applications, where machine learning algorithms need to be executed locally on the device rather than relying on cloud-based processing. 2. Internet of Things (IoT): The ML610Q112-NNNTCZ07FL chips can be used in IoT devices for tasks such as image recognition, voice processing, and sensor data analysis. 3. Robotics: These chips can be utilized in robotics applications for tasks like object detection, navigation, and decision-making. 4. Autonomous Vehicles: The ML610Q112-NNNTCZ07FL chips can be employed in autonomous vehicles for tasks like object recognition, lane detection, and real-time decision-making. 5. Industrial Automation: These chips can be used in industrial automation systems for tasks like quality control, predictive maintenance, and anomaly detection.Overall, the ML610Q112-NNNTCZ07FL integrated circuit chips offer high-performance neural network processing capabilities, making them suitable for a wide range of applications in various industries.
ML610Q112-NNNTCZ07FL Relevant information