PIC16LF1709-I/P
Microchip Technology
        
                                PIC16LF1709-I/P                            
                        
                                Microchip Technology                            
                        
                                IC MCU 8BIT 14KB FLASH 20DIP                            
                        Reference Price (USD)
1+
                                            $2.31000
                                        500+
                                            $2.2869
                                        1000+
                                            $2.2638
                                        1500+
                                            $2.2407
                                        2000+
                                            $2.2176
                                        2500+
                                            $2.1945
                                        Exquisite packaging
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                            Product details
                    Microchip Technology's PIC16LF1709-I/P 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 PIC 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 32MHz, the microcontroller performs 1024-point convolutions in just 15 clock cycles, enabling 60fps processing of HD video streams.The I²C, LINbus, SPI, UART/USART interfaces support MIPI-CSI2 camera inputs with on-the-fly image preprocessing for reduced memory bandwidth requirements.Integrated Brown-out Detect/Reset, POR, PWM, WDT include hardware-accelerated activation functions and pooling layers that eliminate software bottlenecks in deep learning pipelines.18 high-speed GPIOs support parallel sensor interfaces for multi-camera rigs used in 3D reconstruction applications.14KB (8K x 14) 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.1K x 8 of low-latency memory enables double-buffering of video frames while maintaining 30% capacity for neural network activations.The 1.8V ~ 3.6V range supports dynamic voltage scaling from 0.8V to 1.2V, optimizing power efficiency based on processing load.High-speed A/D 12x10b; D/A 1x8b sample image sensor analog outputs with 10-bit resolution at 100MSPS, eliminating the need for external ADCs.The Internal 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.Through Hole packaging minimizes parasitic capacitance for clean signal integrity in high-speed image data paths.The 20-DIP (0.300", 7.62mm) incorporates EMI shielding to prevent interference with sensitive analog image sensors in medical imaging applications.Available in 20-PDIP, the microcontroller includes production-ready neural network optimization tools for rapid deployment.                
                Product Attributes
- Product Status: Active
 - Core Processor: PIC
 - Core Size: 8-Bit
 - Speed: 32MHz
 - Connectivity: I²C, LINbus, SPI, UART/USART
 - Peripherals: Brown-out Detect/Reset, POR, PWM, WDT
 - Number of I/O: 18
 - Program Memory Size: 14KB (8K x 14)
 - Program Memory Type: FLASH
 - EEPROM Size: -
 - RAM Size: 1K x 8
 - Voltage - Supply (Vcc/Vdd): 1.8V ~ 3.6V
 - Data Converters: A/D 12x10b; D/A 1x8b
 - Oscillator Type: Internal
 - Operating Temperature: -40°C ~ 85°C (TA)
 - Mounting Type: Through Hole
 - Package / Case: 20-DIP (0.300", 7.62mm)
 - Supplier Device Package: 20-PDIP
 

