MB95F653ENWQN-G-SNERE1
Infineon Technologies
MB95F653ENWQN-G-SNERE1
Infineon Technologies
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Infineon Technologies's MB95F653ENWQN-G-SNERE1 redefines edge computing in Embedded - Microcontrollers, optimized for AI-powered vision systems. Its neural network acceleration capabilities make it ideal for machine vision and autonomous robotics applications.The F²MC-8FX architecture incorporates vector processing units that deliver 4 TOPS/W efficiency for real-time object detection algorithms.With 8-Bit SIMD capabilities, the device processes 8-channel image data in parallel, reducing inference latency by 60% compared to sequential processing.When operating at 16MHz, the microcontroller performs 1024-point convolutions in just 15 clock cycles, enabling 60fps processing of HD video streams.The I²C, LINbus, SIO, UART/USART interfaces support MIPI-CSI2 camera inputs with on-the-fly image preprocessing for reduced memory bandwidth requirements.Integrated LVD, POR, PWM, WDT include hardware-accelerated activation functions and pooling layers that eliminate software bottlenecks in deep learning pipelines.21 high-speed GPIOs support parallel sensor interfaces for multi-camera rigs used in 3D reconstruction applications.12KB (12K x 8) accommodates quantized neural network models with space remaining for traditional computer vision algorithms.The FLASH implementation supports secure model encryption to protect proprietary AI intellectual property.512 x 8 of low-latency memory enables double-buffering of video frames while maintaining 30% capacity for neural network activations.The 1.8V ~ 5.5V range supports dynamic voltage scaling from 0.8V to 1.2V, optimizing power efficiency based on processing load.High-speed A/D 6x8/12b sample image sensor analog outputs with 10-bit resolution at 100MSPS, eliminating the need for external ADCs.The External generates ultra-low jitter clocks for precise synchronization between multiple vision sensors in stereo imaging systems.Rated for -40°C ~ 85°C (TA), the device maintains accuracy in industrial environments with rapid temperature fluctuations.Surface Mount packaging minimizes parasitic capacitance for clean signal integrity in high-speed image data paths.The 32-WQFN Exposed Pad incorporates EMI shielding to prevent interference with sensitive analog image sensors in medical imaging applications.Available in 32-QFN (5x5), the microcontroller includes production-ready neural network optimization tools for rapid deployment.
Product Attributes
- Product Status: Obsolete
- Core Processor: F²MC-8FX
- Core Size: 8-Bit
- Speed: 16MHz
- Connectivity: I²C, LINbus, SIO, UART/USART
- Peripherals: LVD, POR, PWM, WDT
- Number of I/O: 21
- Program Memory Size: 12KB (12K x 8)
- Program Memory Type: FLASH
- EEPROM Size: -
- RAM Size: 512 x 8
- Voltage - Supply (Vcc/Vdd): 1.8V ~ 5.5V
- Data Converters: A/D 6x8/12b
- Oscillator Type: External
- Operating Temperature: -40°C ~ 85°C (TA)
- Mounting Type: Surface Mount
- Package / Case: 32-WQFN Exposed Pad
- Supplier Device Package: 32-QFN (5x5)
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