MCU Selection Engine — Microcontroller Comparison Tool

This video shows how the MCU Selection Engine — Microcontroller Comparison Tool works? This web tool allows you to compare microcontrollers side by side using a weighted scoring system based on cost, pin count, and flash memory. To use this tool, select any combination of AVR, STM32, PIC, MSP430, or RP2350 chips and let the decision engine rank them for your specific project requirements. How the Scoring Works The engine uses multi-criteria decision analysis (MCDA) to score each chip: a)Min-Max Normalization: Each spec (price, pins, flash) is scaled to a 0–1 range so they can be compared on equal footing regardless of units. b)Bayesian Priority Weighting: You assign a weight (1–10) to each criterion. Higher weight means that spec has more influence on the final score. c)Utility Score: The weighted average of normalized specs — the higher the score, the better the chip fits your stated priorities. d)Wald Minimax Criterion: Identifies the chip with the best worst-case normalized spec. The safest choice when even one weak spec could be a problem. Supported Microcontroller Families The tool covers common MCU families used in embedded systems, Arduino projects, robotics, IoT, and low-power sensor designs such as: 1. AVR 8-bit like ATtiny85, ATmega32, ATmega328P, ATmega32U4, ATmega2560 2. ARM 32-bit (STMicroelectronics / Raspberry Pi): STM32F103C8T6, STM32F401RE, STM32L4R5ZIT6, RP2350 3. MSP430 16-bit (Texas Instruments): MSP430G2553, MSP430F5529, MSP430FR5994 4. PIC (Microchip): PIC12F683, PIC16F877A, PIC18F4550 5. SoC / BLE: nRF52840 (Nordic Semiconductor) Try it out:https://www.icexplorer.online/2026/05/mcu-selection-engine.html