It is an MCU-based vision AI module powered by Arm Cortex-M55 & Ethos-U55. TensorFlow and PyTorch frameworks are supported. Compatible with Arduino IDE and no code model deployment and immediate visualization of identification results with SenseCraft AI.

AI Brick Phone AMP

AI Brick Phone Mic

AI Brick Phone ADC

It is an MCU-based vision AI module powered by Arm Cortex-M55 & Ethos-U55. TensorFlow and PyTorch frameworks are supported. Compatible with Arduino IDE and no code model deployment and immediate visualization of identification results with SenseCraft AI.

Spot the mistake! Learn how to use AI to conduct a design review on an ESP32-based control board. This project is ideal for autonomous or radio-controller robots featuring inputs for sensors, encoders, and a Flysky RC receiver, plus an I2C display for configuration.

Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!

Bluetooth, WiFi 802.11b/g/n, Bluetooth v5.0 Transceiver Module 2.4GHz PCB Trace Surface Mount The ESP32-S3-WROOM-1-N16R8 is a high-performance Wi-Fi + Bluetooth Low Energy (BLE) module developed by Espressif Systems. It is built around the ESP32-S3 SoC, featuring a dual-core Xtensa LX7 32-bit processor running up to 240 MHz. This module integrates 16 MB Flash memory and 8 MB PSRAM, making it suitable for memory-intensive applications such as AI, image processing, and advanced IoT systems. It also includes an onboard PCB trace antenna, RF circuitry, crystal oscillator, and power management components—allowing designers to quickly integrate wireless connectivity into compact embedded designs. Key Features Processing & Memory Dual-core Xtensa LX7 CPU, up to 240 MHz 384 KB ROM, 512 KB SRAM + 16 KB RTC SRAM 16 MB Flash (Quad SPI) 8 MB PSRAM (Octal/Quad SPI) Connectivity 2.4 GHz Wi-Fi (802.11 b/g/n) Bluetooth 5 (LE) + Mesh support Integrated PCB antenna Peripherals & Interfaces Up to 36 GPIOs Interfaces: UART, SPI, I2C, I2S, PWM, ADC, USB OTG Built-in USB Serial/JTAG support Supports touch sensors, timers, watchdogs, CAN (TWAI) Electrical Characteristics Supply voltage: 3.0 V – 3.6 V TX power: up to ~20.5 dBm RX sensitivity: ~-103.5 dBm Operating temp: −40 °C to +65 °C (typical) Advanced Capabilities Optimized for AI acceleration (vector instructions) Suitable for voice recognition, image processing, and edge AI Low-power modes for battery-operated devices| Typical Applications IoT devices and sensor hubs Smart home & home automation AIoT (voice/image recognition) Industrial automation & monitoring Wearables and health devices USB-connected embedded systems #Module #RF-Transceiver #ESP32-S3

SDRAM - Mobile LPDDR4X Memory IC 8Gbit Parallel 2.133 GHz 200-FBGA (10x15) The IM8G32L4JCBG-046I is an 8Gb (1GB) LPDDR4X SDRAM memory device designed for high-performance, low-power embedded applications. Organized as 256M × 32 bits, it delivers data rates up to 4266 MT/s, making it suitable for industrial computing, AI edge devices, networking equipment, automotive systems, and other memory-intensive applications. The LPDDR4X architecture reduces power consumption while maintaining high bandwidth and reliable operation across industrial temperature ranges. Key Features 8Gb (Gigabit) LPDDR4X SDRAM Memory organization: 256M × 32 bits High-speed operation up to 4266 MT/s Low-power LPDDR4X interface for reduced energy consumption 32-bit data bus width Industrial operating temperature range: –40°C to +95°C 200-ball FBGA package (10 mm × 15 mm) High bandwidth for demanding embedded applications Optimized for low-power and thermally constrained designs Suitable for industrial, automotive, networking, and edge AI systems #LPDDR4X #SDRAM #MemoryIC #EmbeddedSystems #IndustrialElectronics #EdgeComputing #AIoT #HighSpeedMemory #LowPowerDesign #AutomotiveElectronics #NetworkingHardware #FBGA #HardwareDesign #ElectronicsEngineering #PCBDesign #IntelligentMemory

Seeed Studio XIAO ESP32S3 leverages dual-core ESP32S3 chip, supporting both Wi-Fi and BLE wireless connectivities, which allows battery charge. It integrates built-in camera sensor, digital microphone. It offers 8MB PSRAM, 8MB FLASH, and external SD card slot. All of these make it suitable for embedded ML, like intelligent voice and vision AI. #SeeedStudio #xiao

The XIAO RP2350 packs the power of the Raspberry Pi RP2350 (switchable architecture of dual Arm Cortex-M33 cores running at 150MHz with FPU, and dual open-hardware Hazard3 RISC‑V cores, enhanced security and encryption) into the classic XIAO form factor. Measuring just 21x17.5mm, it features 19 multifunction GPIOs, an RGB LED, and a Battery Management System with ultra-low power consumption of 27μA, battery power supply, and direct battery voltage measurement. Thanks to the XIAO ecosystem, the XIAO RP2350 is compatible with a wide range of add-ons, including displays, LED matrix, Grove modules, CAN Bus, Vision AI sensors, and mmWave sensors. With native support for MicroPython, C, and C++, the XIAO RP2350 is perfect for developers of all levels looking to create compact, battery-powered applications for smart control, wearables, DIY keyboards, and more.

Coral Accelerator Module a solderable multi-chip module including the Edge TPU Coral Google Edge TPU and PMIC G313-06329-00 #AI #Coral

Bluetooth, WiFi 802.11b/g/n, Bluetooth v5.0 Transceiver Module 2.4GHz PCB Trace Surface Mount The ESP32-S3-WROOM-2-N32R16V is a powerful dual-core microcontroller module that integrates wireless connectivity, large memory, and hardware acceleration for AI and signal processing tasks. It is particularly suited for applications requiring edge AI, voice recognition, and high-speed data processing, while still maintaining low power consumption. Dual-core Xtensa LX7 CPU Up to 240 MHz Includes vector instructions for AI and DSP workloads Wi-Fi 2.4 GHz (802.11 b/g/n) Bluetooth 5 (LE) N32 → 32 MB external Flash R16 → 16 MB PSRAM Built for memory-intensive applications #commonpartslibrary #transceiver #wireless #rf

Wi-Fi® 4 + Bluetooth® 5 LE System-in-Package (SiP) MCU – Highly integrated 2.4 GHz wireless System-in-Package (SiP) featuring an ESP32-S3 dual-core Xtensa® LX7 microcontroller for IoT devices, smart home products, AIoT, edge computing, industrial automation, HMI, wearable devices, and embedded wireless applications. Operates at up to 240 MHz with 8 MB embedded Flash and 2 MB embedded PSRAM, eliminating the need for external memory and reducing PCB size. Supports Wi-Fi 802.11 b/g/n and Bluetooth® 5 LE (including Long Range and 2 Mbps PHY), with up to +20 dBm transmit power and 150 Mbps Wi-Fi data rate. Features native USB 2.0 OTG, vector instructions for AI acceleration, 45 programmable GPIOs, SPI, I²C, I²S, UART, USB, RMT, LCD/Camera interface, PWM, TWAI® (CAN), ADC, touch sensing, AES-XTS, SHA, RSA, ECC, HMAC, secure boot, Flash encryption, and a true random number generator (TRNG) for secure embedded applications. Operates from a 3.0 V to 3.6 V supply, over a −40°C to +85°C temperature range, and is housed in a compact 56-pin QFN (7 × 7 mm) package. #EspressifSystems #ESP32S3PICO1N8R2 #ESP32S3 #WirelessMCU #SystemInPackage #WiFi #Bluetooth5LE #DualCore #XtensaLX7 #USBOTG #AIoT #EmbeddedSystems

The Arduino Nicla Voice packs machine-learning capabilities on the edge into a tiny fingerprint. Implement always-on speech recognition with the Nicla Voice. The board integrates a dedicated Neural Decision Processor Syntiant NDP 120 able to run multiple AI algorithms at the same time. Leverage the built-in microphone, nRF52832 microcontroller, Bluetooth Low Energy module, 6-axis IMU and 3-axis magnetometer to create your own wireless sensor network for machine learning applications with low power consumption capabilities.

MPU with Dual Arm Cortex-A35 @1.5GHz, Cortex-M33 @400MHz, 3xEthernet (2+1 switch), 3xFD-CAN, LVDS/DSI, H.264, 3D GPU, AI/NN, Secure Boot, Cryptography, DRAM enc/dec, PKA The STM32MP257FAI3 is a high-performance microprocessor from STMicroelectronics' STM32MP2 series, integrating dual 64-bit Arm Cortex-A35 cores running at up to 1.5 GHz, a Cortex-M33 real-time core, and a Cortex-M0+ low-power management core. It is designed for advanced industrial, edge AI, machine vision, HMI, IoT gateway, and multimedia applications requiring Linux-class processing alongside deterministic real-time control. The device features AI acceleration, 3D graphics, video encoding/decoding, extensive connectivity, advanced security, and support for high-speed external memory. Key Features Dual-core 64-bit Arm Cortex-A35 CPU operating up to 1.5 GHz Arm Cortex-M33 real-time processor with TrustZone and FPU support Arm Cortex-M0+ low-power coprocessor for autonomous operation Integrated NPU (Neural Processing Unit) delivering up to 1.35 TOPS AI performance 3D GPU and hardware video encoder/decoder acceleration Supports DDR3L, DDR4, and LPDDR4 external memory up to 4 GB Multiple display interfaces including MIPI-DSI, LVDS, and parallel RGB USB 2.0 Host and USB 3.0 Dual-Role with embedded PHYs PCI Express interface with integrated 5 Gbps PHY Up to three Gigabit Ethernet interfaces with TSN and IEEE 1588 support Extensive connectivity: I2C, I3C, SPI, UART, USART, CAN FD, SDMMC, SAI, and SPDIF Hardware cryptographic accelerators including AES, SHA, RSA, ECC, PKA, and True RNG Secure boot, TrustZone security, tamper detection, and resource isolation framework Multiple low-power operating modes for energy-efficient designs Available in fine-pitch BGA packages for high-density embedded systems. #STM32MP257FAI3 #STM32MP2 #STMicroelectronics #CortexA35 #CortexM33 #EdgeAI #EmbeddedLinux #IndustrialAutomation #MachineVision #HMI #IoTGateway #MPU #PCIe #USB3 #GigabitEthernet #TrustZone #EmbeddedSystems #ArtificialIntelligence #LinuxProcessor #IndustrialIoT #CommonPartsLibrary #IntegratedCircuit #Microprocessor #STM32MP2

6-axis IMU (inertial measurement unit) with high-g accelerometer, embedded AI, and sensor fusion for high-end applications, car crash detection Accelerometer, Gyroscope, Magnetometer, 6 Axis Sensor I2C, SPI Output #CommonPartsLibrary #IntegratedCircuit #Sensor #Transducer #Motion-Sensor #IMUs #LSM6

QFN-68(7x7) Power Management - Specialized ROHS The RK806-1 is a multi-channel PMIC designed to deliver and manage power for modern embedded platforms. It integrates multiple high-efficiency DC-DC buck converters, LDO regulators, and a configurable power sequencing controller in a compact QFN-68 package. It is tightly coupled with Rockchip SoCs and is responsible for generating stable voltage rails for CPU cores, GPU, DDR memory, and peripheral blocks. ⭐ Key Features ⚡ 1. High-Integration Power Architecture Multiple synchronous buck converters (high-current rails for CPU/GPU) Several LDO regulators for low-noise analog and IO domains Supports dynamic voltage scaling (DVS) for performance optimization 🔌 2. Wide Output Capability Output voltage range: ~0.5 V to 3.4 V per channel Designed for modern low-voltage SoC power domains Supports both high-current and low-noise power rails 🧠 3. Programmable Power Sequencing OTP / register-configurable power-up & power-down sequence Ensures safe startup for multi-rail SoCs Supports synchronized sequencing with multiple PMICs 📡 4. Digital Control Interface I²C and SPI interface for configuration and control Real-time voltage adjustment per processor demand Register-based control for power modes and telemetry 🛡️ 5. Protection & Reliability Features Over-voltage protection (OVP) Over-current protection (OCP) Thermal shutdown protection Soft-start for inrush current control ⚙️ 6. Efficiency & Performance Optimizations High-frequency switching (~MHz range) for smaller external components Fast transient response for CPU load changes Low standby current for power-sensitive designs 📦 7. Package & Integration QFN-68 (7×7 mm) compact package High thermal efficiency for dense PCB layouts Minimal external components required 📌 Typical Applications Single-board computers (SBCs) AI edge computing devices Tablets and industrial embedded systems Consumer electronics using Rockchip SoCs (e.g., RK3588 platforms) #commonpartslibrary #integratedcircuit #powermanagement

BGA-565(15.5x14.4) Microcontrollers, Quad-core ARM Cortex-A55 processor The RK3566 is a high-performance, low-power 64-bit application processor developed by Rockchip for AIoT, industrial control, smart displays, tablets, embedded systems, and single-board computers. It integrates a quad-core ARM Cortex-A55 CPU, Mali-G52 GPU, AI acceleration engine (NPU), advanced multimedia processing, and a rich set of connectivity interfaces, making it suitable for Linux- and Android-based applications requiring efficient performance and multimedia capabilities. Key Features Quad-core 64-bit ARM Cortex-A55 processor operating up to 2.0 GHz. ARM Mali-G52 2EE GPU with support for OpenGL ES 3.2, OpenCL 2.0, and Vulkan 1.1. Integrated NPU delivering up to 1 TOPS AI computing performance. Supports DDR3, DDR3L, DDR4, LPDDR3, LPDDR4, and LPDDR4X memory. Hardware video decoding up to 4K@60fps for H.264, H.265, and VP9 formats. Hardware video encoding up to 1080p@60fps for H.264 and H.265. Built-in 8MP ISP with HDR image processing support. Multiple display interfaces including HDMI 2.0, eDP, MIPI-DSI, LVDS, RGB, and E-Ink. High-speed connectivity with USB 3.0, USB 2.0, PCIe, SATA, Gigabit Ethernet, SDIO, and eMMC 5.1. Rich peripheral support including UART, SPI, I²C, PWM, ADC, I²S, PDM, and GPIO. Optimized for Android, Linux, industrial HMI, smart home, edge computing, and AIoT applications. Manufactured using a 22 nm process for improved power efficiency. #RK3566 #Rockchip #ARMCortexA55 #MaliG52 #AIoT #EmbeddedSystems #SingleBoardComputer #Linux #Android #IndustrialControl #SmartDisplay #EdgeComputing #SoC #Processor #NPU #4KVideo #IoT #Electronics #HardwareDesign #PCBDesign

ARM® Cortex®-M33 RT-600 Microcontroller IC 32-Bit Dual-Core 300MHz External Program Memory 176-VFBGA (9x9) The RT600 is a family of dual-core microcontrollers for embedded applications featuring an Arm Cortex-M33 CPU combined with a Cadence Xtensa HiFi4 advanced Audio Digital Signal Processor CPU. The Cortex-M33 includes two hardware coprocessors providing enhanced performance for an array of complex algorithms. The family offers a rich set of peripherals and very low power consumption. The Arm Cortex-M33 is a next generation core based on the ARMv8-M architecture that offers system enhancements, such as ARM TrustZone® security, single-cycle digital signal processing, and a tightly-coupled coprocessor interface, combined with low power consumption, enhanced debug features, and a high level of support block integration. The ARM Cortex-M33 CPU employs a 3-stage instruction pipe and includes an internal prefetch unit that supports speculative branching. A hardware floating-point processor is integrated into the core. On the RT600, the Cortex-M33 is augmented with two hardware coprocessors providing accelerated support for additional DSP algorithms and cryptography. The Cadence Xtensa HiFi 4 Audio DSP engine is a highly optimized audio processor designed especially for efficient execution of audio and voice codecs and pre- and post-processing modules. It supports four 32x32-bit MACs, some support for 72-bit accumulators, limited ability to support eight 32x16-bit MACs, and the ability to issue two 64-bit loads per cycle. There is a floating point unit providing up to four single-precision IEEE floating point MACs per cycle. The RT600 provides up to 4.5 MB of on-chip SRAM (plus an additional 128 KB of tightly-coupled HiFi4 ram) and several high-bandwidth interfaces to access off-chip flash. The FlexSPI flash interface supports two channels and includes an 32 KB cache and an on-the-fly decryption engine. The RT600 is designed to allow the CortexM33 to operate at frequencies of up to 300 MHz and the HiFi4 DSP to operate at frequencies of up to 600 MHz. Key Features Dual-core architecture with Arm Cortex-M33 CPU and Cadence Xtensa HiFi4 DSP Cortex-M33 operating at up to 300 MHz HiFi4 DSP operating at up to 600 MHz Up to 4.5 MB on-chip SRAM 128 KB DSP tightly coupled memory (TCM) FlexSPI interface supporting Quad/Octal SPI Flash with execute-in-place (XIP) High-speed USB 2.0 Host/Device with integrated PHY Digital microphone (DMIC) interface supporting up to 8 channels Multiple I2S, SPI, I²C, UART, SDIO, and I3C interfaces 12-bit ADC with up to 1 MSPS sampling rate Hardware cryptography acceleration (AES, SHA, RSA, ECC) Arm TrustZone® security technology Secure boot and physically unclonable function (PUF) key storage Multiple low-power operating modes for battery-powered applications Up to 147 GPIOs depending on package option 176-pin VFBGA package (9 mm × 9 mm) Typical Applications Voice-controlled smart devices Audio processing and DSP systems Smart speakers and soundbars Industrial HMI and control panels Edge AI and machine learning applications IoT gateways and connected devices Wearable and portable electronics #NXP #iMXRT685 #RT600 #CortexM33 #HiFi4DSP #Microcontroller #EmbeddedSystems #EdgeAI #VoiceRecognition #AudioProcessing #IoT #IndustrialAutomation #SecureMCU #MachineLearning #MCUDesign

PSRAM (Pseudo SRAM) Memory IC 512Mbit HyperBus 166 MHz 36 ns 24-TFBGA (6x8) The IS66/67WVH64M8DALL/BLL are 512Mb Dual Die device containing two units of 256Mbit Pseudo Static Random Access Memory, organized as 64M words by 8 bits. The device supports a HyperBus interface, Very Low Signal Count (Address, Command and data through 8 DQ pins), Hidden Refresh Operation, and Automotive Temperature Operation, designed especially for Mobile and Automotive applications Key Features 512-Mbit (64M × 8) HyperRAM™ PSRAM High-speed HyperBus interface Clock frequency up to 166 MHz Fast 36 ns access time Single-ended clock architecture with reduced pin count Operating voltage range: 2.7 V to 3.6 V Industrial temperature range: −40°C to +85°C Low-power volatile memory solution Surface-mount 24-TFBGA (6 mm × 8 mm) package Suitable for graphics, AI edge devices, networking, and embedded systems requiring large external memory capacity. #CommonPartsLibrary #IntegratedCircuit #HyperRAM #PSRAM #ISSI #MemoryIC #HyperBus #EmbeddedSystems #IndustrialElectronics #IoT #HighSpeedMemory #BGA #VolatileMemory #EdgeComputing #HMI #ElectronicsDesign