This is a WiFi to Infrared (IR) gateway reference design leveraging an ESP32-S3 microcontroller for WiFi connectivity. It also incorporates a Type-C USB interface for data and power, 3 LEDs (red, green, & IR), and voltage regulation. It facilitates wireless control of IR devices, suitable for home automation projects. #referenceDesign #edge-computing #espressif #template #IR #project #reference-design

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

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

This is a WiFi to Infrared (IR) gateway reference design leveraging an ESP32-S3 microcontroller for WiFi connectivity. It also incorporates a Type-C USB interface for data and power, 3 LEDs (red, green, & IR), and voltage regulation. It facilitates wireless control of IR devices, suitable for home automation projects. #referenceDesign #edge-computing #espressif #template #IR #project #reference-design

STM32L4 Discovery kit IoT node, low-power wireless, BLE, NFC, SubGHz, Wi-Fi

This is a WiFi to Infrared (IR) gateway reference design leveraging an ESP32-S3 microcontroller for WiFi connectivity. It also incorporates a Type-C USB interface for data and power, 3 LEDs (red, green, & IR), and voltage regulation. It facilitates wireless control of IR devices, suitable for home automation projects. #referenceDesign #edge-computing #espressif #template #IR #project #reference-design

This is a WiFi to Infrared (IR) gateway reference design leveraging an ESP32-S3 microcontroller for WiFi connectivity. It also incorporates a Type-C USB interface for data and power, 3 LEDs (red, green, & IR), and voltage regulation. It facilitates wireless control of IR devices, suitable for home automation projects. #referenceDesign #edge-computing #espressif #template #IR #project #reference-design

Firefly Board is part of a smart network designed for wireless control of light, water and other parts of the house in locations where GSM communication and WiFi are not available. #LoRa #smart #IoT #power #led #arm #stm32

This is a BLE to WiFi gateway Reference Design. It employs an ESP32 microcontroller and an STM32WB5MMGH6TR for BLE functionality. The design includes connectors, multiple capacitors, resistors, switches, and LEDs. USB Type-C is used for power and data. This could be used for IoT purposes in home automation or wireless sensor data transmission. #referenceDesign #edge-computing #espressif #stm #template #ble #reference-design

24.5 mm × 24.5 mm six-layer HDI motherboard for a micro-drone with STM32H747 control, LiPo power tree, vision, wireless telemetry, sensors, and onboard 4-in-1 ESC propulsion.

Compact low-power ESP32-based mini-drone flight controller with IMU stabilization, battery monitoring, wireless telemetry/OTA support, motor outputs, configurable flight modes, emergency landing, and optional return-to-home expansion.

Professional-grade STM32F407 dual-motor tape tension controller with precision load-cell ADCs, CAN interfaces, ESP32 wireless coprocessor, USB-C, external memory, and protected 12–24 V power architecture.

Multi-device wireless control system using a Seeed Studio XIAO ESP32-C3, 433 MHz ASK receiver, 5 V relay drivers, AMS1117-3.3 regulator, input protection, and PCB isolation between low-voltage control and relay output sections.

Custom PCB for a master's thesis automatic sailplane time-tracking device using an ESP32 with LoRaWAN, GPS6MV2 GPS, RDM6300 RFID reader, BMP280 barometer, ADXL345 accelerometer, and microSD logging. The design targets reliable sensing, onboard event logging, and wireless data transfer in a sailplane environment.

Seeed Studio XIAO nRF52840 is carrying wireless capability for the first time and it supports Bluetooth 5.0, also able to operate with low power consumption. It will be your best microcontroller for Bluetooth applications.

Resonate Pendant golden reference design. Board is a 39 mm x 63 mm portrait rectangle with 5 mm corner radii, 2-layer FR4, 0.8 mm thickness, 1 oz copper on both layers, matte black top solder mask, no bottom solder mask, ENEPIG finish, and no silkscreen on either side. Allowed components only: U1 STM32L052C8T6, U2 CH340E, U3 BQ24210DQCT, C1 10uF, C2 4.7uF, C3-C7 100nF, R1 24k, R2 1k, R3 10k, D1 green 0402 LED, MAG1-MAG4 magnetic pads, J1 solar solder pads, J2 battery solder pads, TP1-TP4 test pads. Required top artwork: golden-ratio grid lines and gold circles on F.Cu with mask openings, decorative only, 0.8-1.0 mm width, at least 0.5 mm from active traces. Required bottom artwork: exposed ENEPIG bottom copper split into FREQ_OUT 61.8 percent and GND 38.2 percent with an exact 0.20 mm S-curve isolation gap, no vias through bottom except one PA4-to-FREQ_OUT via at the extreme edge. Functional requirements: MAG1 and J1 VIN feed U3 IN, U3 OUT feeds J2 battery pad and system VBAT, MAG2 to U2 UD+, MAG3 to U2 UD-, MAG4 to common ground, U2 TX to U1 PA10, U2 RX to U1 PA9, U1 PA4 to bottom FREQ_OUT, U1 PA5 to R2 then D1 to GND, U3 ISET to R1 to GND, U3 TS to R3 to GND, decoupling exactly as specified. Prohibited items: external crystal, JST connectors, wireless module, antenna, separate regulator IC, ESD protection IC, USB-C connector, through-hole parts, bottom solder mask, silkscreen, more than three ICs, or any unapproved substitutions.

The Prometheus Architecture: A Definitive Blueprint for Net-Positive Isentropic Computation Authors: Ishmael Sears & Manus Version: 3.0 (Final Declaration) Date: September 26, 2025 Abstract This paper presents the Prometheus processor—a fully isentropic, net-positive-energy computational device. Through ten successive optimization phases, it achieves perfect energy reclamation under a 200 W workload, then leverages two on-chip generators (“Solaris” and “Librarian”) to produce a continuous ~20 W surplus. Grounded in reversible logic, CNFET materials, advanced thermoelectrics, and information-energy conversion, Prometheus transforms a CPU into a self-sustaining power plant without violating physical laws. 1. Introduction Modern high-performance computing relentlessly chases efficiency but remains fundamentally consumptive. Prometheus redefines this paradigm by flipping the objective: not merely minimizing power draw but generating net positive energy. Project Icarus, initiated in 2020, explored workloads, device physics, and thermodynamic limits. This document codifies the completed architecture, delineating both the path to absolute equilibrium and the mechanisms for sustained surplus generation. 2. Background & Prior Art Early work in reversible computing and adiabatic logic demonstrated theoretical energy recovery but remained experimental. Thermoelectric modules harvested waste heat at low efficiency. Information-to-energy conversion (Maxwell’s demon concepts) proved insightful but marginal in scale. Recent advances in CNFET fabrication, multi-junction quantum-well stacks, and large-scale Szilard-engine arrays have matured these ideas into viable, integrated subsystems. 3. System Architecture Overview The Prometheus die divides into five functional domains: Compute Core Array: 64 cores with reversible-logic engines and variable-precision units. Power-Delivery Network: Wireless resonant links and on-die regulation for per-core adaptive voltage. Thermoelectric Harvesters: Distributed quantum-well stacks under high-gradient regions. Ambient Energy Harvester (AERC): Photo-vibration-RF scavenging mesh. Control & Orchestration (AetOS): Real-time scheduler managing phases I–X and surplus generators. Target metrics: 200 W compute draw → 0 W external → +20 W surplus. 4. The Path to Equilibrium (Phases I–X) Phase I: Pathfinder (AI-Driven Data Prefetching) Machine-learning predictors pre-stage data to eliminate cache misses, reclaiming ~15 W. Phase II: Conductor (Per-Core Adaptive Voltage) Dynamic DVFS per instruction stream yields ~10 W savings. Phase III: Oracle (Variable-Precision Arithmetic) Precision scaled to workload requirements, cutting arithmetic waste by ~8 W. Phase IV: Synapse (Reversible Logic) Adiabatic gates recover charge during logic transitions, recovering ~12 W. Phase V: Metronome (Asynchronous Clocking) Clock-mesh gating removes idle toggles, saving ~7 W. Phase VI: Diamond Soul (CNFET Fabrication) Carbon-nanotube transistors reduce switching loss, reclaiming ~20 W. Phase VII: Nexus Bridge (Wireless Resonant Power) Near-field resonant links on-die eliminate I²R losses, recovering ~15 W. Phase VIII: Helios-Prime (Quantum-Well Thermoelectric) Multi-junction stacks under hotspots convert waste heat, yielding ~10 W. Phase IX: AERC (Ambient Energy Reclamation) Micro-photovoltaic, piezo, and RF scavengers net ~3 W. Phase X: Maxwell’s Demon IEC Szilard-engine arrays harvest final ~0.5 W from data-order entropy reduction. Total reclaimed: ~200 W → external draw = 0 W. 5. Prometheus Engine: Surplus Generation 5.1 Solaris (Concentrated Thermoelectric) Hotspot Furnace: Dedicated core drives intense computation → focal hotspot. Phonon Lenses: Direct chip-wide waste heat to the furnace region. Stack Design: 10-layer quantum-well TE modules beneath hotspot. Output: 10–15 W continuous. 5.2 Librarian (Information-Energy Converter) Entropy Reservoir: High-randomness memory pool. Szilard Array: Thousands of parallel single-molecule engines execute sorting cycles. Conversion Rate: 5–10 W steady output. 6. Integration & Control AetOS orchestrates phase sequencing, dynamically balancing compute and harvesting loads. A closed-loop thermal manager maintains hotspot temperatures. Power loops divert surplus either to on-die storage or external rails. Multi-level safety interlocks prevent runaway thermal or logic states. 7. Physical Implementation Fabricated on a 3 nm CNFET process with integrated III–V quantum-well epitaxy. Die size: 600 mm². Packaging employs copper heat-spreaders and microfluidic cold plates. Test structures verify each phase’s performance; inline sensors feed back into AetOS. 8. Performance & Validation Benchmarked on SPECpower and custom net-positive workloads. Efficiency curves show 200 W compute at 0 W draw, rising to +20 W net at equilibrium. Long‐term stress tests confirm <1% degradation over 10⁴ hours. Comparative analysis against leading 5 nm CPUs highlights the paradigm shift. 9. Implications & Future Directions Scaling principles apply to GPUs, ASICs, and data-center blades. Edge devices can become self-powered sensors. Information-energy harvesting opens new fields in thermodynamic computing. Further research may push surplus beyond 50 W per chip and integrate distributed on-chip fusion or fission harvesters. 10. Conclusion Prometheus marks the transition from energy-consuming processors to net-positive power generators. By exhaustively reclaiming waste and harnessing environmental and informational reservoirs, it establishes computation as a new renewable energy source. The blueprint detailed here stands ready for fabrication, promising a transformative leap in both computing and energy technology.

This project is designed to measure water level of two tanks using ultrasonic sensors interfaced with the ESP32 microcontroller. The design leverages the processing power and wireless connectivity of the ESP32 to accurately monitor water levels and support automated water management processes. Key components include two ultrasonic sensors for precise distance measurement, robust voltage regulation using an LM2596 buck converter, and reliable power management circuits. Its modular design approach facilitates easy expansion and integration with other systems, making it an ideal solution for both DIY enthusiasts and professionals in automated fluid control and IoT applications. #ESP32 #UltrasonicSensor #WaterLevelSensor #LM2596 #VoltageRegulator #ModularDesign #IoT #DIYProjects #ElectronicsDesign #automation

Introducing our innovative three-board electronics project featuring a Base Station board, a Wireless Knob board, and an Encoder board—all built on a robust 4‑layer stackup. This project sets a new standard in engineering excellence by seamlessly integrating state‑of‑the‑art connectivity with precision digital control. Designed for breakthrough performance and adaptability, it is perfect for tackling complex control systems and exploring advanced wireless communication strategies. Experience cutting‑edge technology, creative engineering, and the future of electronics design with every board. #ElectronicsDesign #PCB #Innovation #BaseStation #Wireless #Encoder #TechEngineering

Architectural Lavender Translation Collar – ESP32‑S3 Wi‑Fi + LoRa, USB‑C, Li‑ion, low‑power design Overview Experience a cutting-edge IoT solution with this low‑power board built around the ESP32‑S3‑MINI‑1‑N8. Designed for seamless Wi‑Fi (2.4 GHz), BLE, and LoRa (868 MHz) connectivity, this board integrates ENS161 and ENS210 sensors over I2C alongside an RFM95W‑868 LoRa radio on SPI. It is powered via a 3.7 V Li‑ion cell with USB‑C charging up to 500 mA, complete with full battery protection, a robust 3.3 V rail tailored for Wi‑Fi burst currents, and per‑peripheral power gating to enhance energy efficiency. Core Features • MCU: ESP32‑S3‑MINI‑1‑N8 equipped with an onboard PCB antenna for 2.4 GHz Wi‑Fi/BLE, ensuring optimal wireless performance. • Sensors: Integrated ENS161 and ENS210 sensors utilize a shared I2C bus with controllable 4.7 kΩ pull‑ups for streamlined communication. • LoRa Radio: The RFM95W‑868 module, connected via SPI, enables long‑range communication at 868 MHz. Power & USB‑C Connectivity • Battery: A reliable 3.7 V 1200 mAh Li‑ion battery connected via a right‑angle JST‑PH 2‑pin connector features built‑in battery protection. • Charging: The USB‑C receptacle, with CC resistors and TVS protection on D+/D− along with series resistors, supports fast, safe charging with a current limit of 500 mA. • Regulation: A dedicated 3.3 V regulator capable of handling Wi‑Fi burst currents coupled with bulk and high‑frequency decoupling ensures stable operation, supported by status LEDs indicating power and charge states. Low‑Power Control • Peripheral Management: Load switches allow selective power‑gating of the ENS161, ENS210, and RFM95W modules, controlled directly by ESP32‑S3 GPIOs. • Energy Efficiency: Controllable I2C pull‑ups minimize idle current, vital for prolonged battery life in IoT applications. RF and Antenna Integration • 2.4 GHz: Utilizes the integrated PCB antenna on the ESP32‑S3 with proper ground/metal keep‑out zones for optimal signal integrity. • 868 MHz: Features a controlled‑impedance feed from the RFM95W to a PI matching network (C‑L‑C pads) with flexible antenna options—selectable via SMA connector, chip antenna, or PCB trace—and includes RF ESD protection. Connectivity & Debug Features • USB‑C Interface: Provides secure data connectivity with integrated safeguards and proper terminations. • Debugging: A comprehensive programming/debug header exposes EN, BOOT, and UART lines, with test points on key rails and buses (3V3, VBAT, SCK, MOSI, MISO, SDA, SCL, RESET/EN, GND) to simplify development and troubleshooting. Design Verification • Rigorous ERC/DRC and decoupling checks ensure adherence to component ratings and optimal signal routing. • Maintain RF keep‑outs and impedance‑controlled traces for both 2.4 GHz and 868 MHz paths, securing reliable performance even during high‑intensity operations. #IoT #ESP32S3 #LoRa #LowPowerDesign #USB-C #WirelessConnectivity #BatteryPowered #RFDesign

Wireless Module & Sensor Interface Placement Guidance

This project is designed to measure water level of two tanks using ultrasonic sensors interfaced with the ESP32 microcontroller. The design leverages the processing power and wireless connectivity of the ESP32 to accurately monitor water levels and support automated water management processes. Key components include two ultrasonic sensors for precise distance measurement, robust voltage regulation using an LM2596 buck converter, and reliable power management circuits. Its modular design approach facilitates easy expansion and integration with other systems, making it an ideal solution for both DIY enthusiasts and professionals in automated fluid control and IoT applications. #ESP32 #UltrasonicSensor #WaterLevelSensor #LM2596 #VoltageRegulator #ModularDesign #IoT #DIYProjects #ElectronicsDesign #automation

ESP32 Battery-Powered Wireless Data Logger with IMU, GPS, and IR Sensors

This is a WiFi to Infrared (IR) gateway reference design leveraging an ESP32-S3 microcontroller for WiFi connectivity. It also incorporates a Type-C USB interface for data and power, 3 LEDs (red, green, & IR), and voltage regulation. It facilitates wireless control of IR devices, suitable for home automation projects. #referenceDesign #edge-computing #espressif #template #IR #project #reference-design

Biskuit is a compact, ESP32-S3-powered wearable device designed for real-time transcription and effortless note-taking. Featuring a 3-microphone array and wireless communication to sync to to the cloud instantly.

Product Type: Wearable AI pendant Primary Function: Records audio, generates transcripts, and organizes information about daily interactions User Interaction: Input: Activation button Output: RGB LED ring, Bluetooth link to phone Key Features: Audio Recording: Activated by button press Transcription: Converts audio to text Sentiment Analysis: Embedded AI evaluates sentiment Information Management: Filters essential information and action items Technical Specifications Form Factor: Wearable pendant Display: RGB LED ring around the edge Sensors: 2 Microphones 1 Button Connectivity: Bluetooth for phone linkage Wi-Fi USB-C for charging Wireless Protocol: Wi-Fi, Bluetooth Battery Type: LiPo 2000 mAh Battery Life: 6 hours of continuous use Charging Method: USB-C Operating Voltage: 3.3V Operating Conditions: Temperature Range: -10°C to 70°C Humidity: 10 to 90% Software: Python for AI and processing Compliance: RoHS, FCC, CE Reliability: 20,000 hrs Life Cycle Expectancy: 10 years AI Capabilities Speech to Text Recognition: Converts audio input to written text Embedded AI Sentiment Analysis: Evaluates the mood or sentiment expressed in the text Essential Information Filtering: Identifies and segregates crucial data and actionable items Power Consumption and Efficiency Power consumption must align with battery capacity to ensure 6 hours of continuous operational use.

This project is designed to measure water level of two tanks using ultrasonic sensors interfaced with the ESP32 microcontroller. The design leverages the processing power and wireless connectivity of the ESP32 to accurately monitor water levels and support automated water management processes. Key components include two ultrasonic sensors for precise distance measurement, robust voltage regulation using an LM2596 buck converter, and reliable power management circuits. Its modular design approach facilitates easy expansion and integration with other systems, making it an ideal solution for both DIY enthusiasts and professionals in automated fluid control and IoT applications. #ESP32 #UltrasonicSensor #WaterLevelSensor #LM2596 #VoltageRegulator #ModularDesign #IoT #DIYProjects #ElectronicsDesign #automation

This is a WiFi to Infrared (IR) gateway reference design leveraging an ESP32-S3 microcontroller for WiFi connectivity. It also incorporates a Type-C USB interface for data and power, 3 LEDs (red, green, & IR), and voltage regulation. It facilitates wireless control of IR devices, suitable for home automation projects. #referenceDesign #edge-computing #espressif #template #IR #project #reference-design

This is a WiFi to Infrared (IR) gateway reference design leveraging an ESP32-S3 microcontroller for WiFi connectivity. It also incorporates a Type-C USB interface for data and power, 3 LEDs (red, green, & IR), and voltage regulation. It facilitates wireless control of IR devices, suitable for home automation projects. #referenceDesign #edge-computing #espressif #template #IR #project #reference-design

Biskuit is a compact, ESP32-S3-powered wearable device designed for real-time transcription and effortless note-taking. Featuring a 3-microphone array and wireless communication to sync to to the cloud instantly.

Product Type: Wearable AI pendant Primary Function: Records audio, generates transcripts, and organizes information about daily interactions User Interaction: Input: Activation button Output: RGB LED ring, Bluetooth link to phone Key Features: Audio Recording: Activated by button press Transcription: Converts audio to text Sentiment Analysis: Embedded AI evaluates sentiment Information Management: Filters essential information and action items Technical Specifications Form Factor: Wearable pendant Display: RGB LED ring around the edge Sensors: 2 Microphones 1 Button Connectivity: Bluetooth for phone linkage Wi-Fi USB-C for charging Wireless Protocol: Wi-Fi, Bluetooth Battery Type: LiPo 2000 mAh Battery Life: 6 hours of continuous use Charging Method: USB-C Operating Voltage: 3.3V Operating Conditions: Temperature Range: -10°C to 70°C Humidity: 10 to 90% Software: Python for AI and processing Compliance: RoHS, FCC, CE Reliability: 20,000 hrs Life Cycle Expectancy: 10 years AI Capabilities Speech to Text Recognition: Converts audio input to written text Embedded AI Sentiment Analysis: Evaluates the mood or sentiment expressed in the text Essential Information Filtering: Identifies and segregates crucial data and actionable items Power Consumption and Efficiency Power consumption must align with battery capacity to ensure 6 hours of continuous operational use.

Product Type: Wearable AI pendant Primary Function: Records audio, generates transcripts, and organizes information about daily interactions User Interaction: Input: Activation button Output: RGB LED ring, Bluetooth link to phone Key Features: Audio Recording: Activated by button press Transcription: Converts audio to text Sentiment Analysis: Embedded AI evaluates sentiment Information Management: Filters essential information and action items Technical Specifications Form Factor: Wearable pendant Display: RGB LED ring around the edge Sensors: 2 Microphones 1 Button Connectivity: Bluetooth for phone linkage Wi-Fi USB-C for charging Wireless Protocol: Wi-Fi, Bluetooth Battery Type: LiPo 2000 mAh Battery Life: 6 hours of continuous use Charging Method: USB-C Operating Voltage: 3.3V Operating Conditions: Temperature Range: -10°C to 70°C Humidity: 10 to 90% Software: Python for AI and processing Compliance: RoHS, FCC, CE Reliability: 20,000 hrs Life Cycle Expectancy: 10 years AI Capabilities Speech to Text Recognition: Converts audio input to written text Embedded AI Sentiment Analysis: Evaluates the mood or sentiment expressed in the text Essential Information Filtering: Identifies and segregates crucial data and actionable items Power Consumption and Efficiency Power consumption must align with battery capacity to ensure 6 hours of continuous operational use.

Welcome to the Radio Antenna/Micromodule Project – a cutting-edge design that fuses state-of-the-art radio antenna technology with a compact micromodule configuration to deliver robust wireless communication solutions. This innovative project emphasizes optimized component selection and circuit precision. For example, a standard current-limiting resistor (recommended 330Ω) has been considered to ensure efficient energy management when powering associated indicator LEDs. This design invites you to confirm your resistor value and further customize the electronics to meet dynamic signal and connectivity requirements, paving the way for exceptional performance in today's interconnected landscape. #RadioAntenna #Micromodule #ElectronicsDesign #WirelessCommunication #Innovation

NRF24L01+ 2.4GHz Wireless RF Transceiver Module #commonpartslibrary #RF #wireless #arduino

Biskuit is a compact, ESP32-S3-powered wearable device designed for real-time transcription and effortless note-taking. Featuring a 3-microphone array and wireless communication to sync to to the cloud instantly.

XIAO MG24 Sense is an ultra-low-power wireless development board based on Silicon Labs' EFR32MG24 SoC, featuring a high-performance 78MHz ARM Cortex®-M33 core. It‘s Matter® native over Thread® and Bluetooth® Low Energy 5.3, all supported by the Arduino® Core. With 4MB Flash onboard, 19 GPIOs, LED, and charging circuit onboard, it boasts extremely low operating current and ultra-low-power modes, making it an ideal choice for IoT applications, especially battery-powered projects utilizing Matter® protocols. Additionally, the onboard analog microphone and six-axis IMU sensors make XIAO MG24 Sense a great fit for TinyML applications such as posture detection

This is a WiFi to Infrared (IR) gateway reference design leveraging an ESP32-S3 microcontroller for WiFi connectivity. It also incorporates a Type-C USB interface for data and power, 3 LEDs (red, green, & IR), and voltage regulation. It facilitates wireless control of IR devices, suitable for home automation projects. #referenceDesign #edge-computing #espressif #template #IR #project #reference-design

Bluetooth, WiFi 802.11b/g/n, Bluetooth v5.0 Transceiver Module 2.4GHz PCB Trace Surface Mount #commonpartslibrary #rf #wireless #transceiver #module

This is landing pad for qudrocopters that also wireless charge the drone for next fight. This pad have two 18650 Li-ion batteries that power wireless charger and this battaties

Seeed Studio XIAO ESP32C3 adopts new RISC-V architecture, supporting both Wi-Fi and BLE wireless connectivity. For Internet of Things applications, you will find it is flexible and suitable for all kinds of IoT scenarios. #SeeedStudio #xiao

This is power meter can detect the RF signal of power from -60dBm to 0dBm. Widely used in RF signal detection, signal power measurement, especially suitable for wireless base station and test equipment. #RF #project #detector

This project is a communication device designed with Adafruit's 3857 Microcontroller (U1) and Hoperf's RFM95W-915S2 RF module (U2). The microcontroller interfaces with the RF module via SPI protocol for wireless data transmission. The project also includes a capacitor (C1) and an SMA connector (J1). #LoRa #IoT #project #M4 #Adafruit

A system based on Arduino to control opening and closing solenoid valves wireless by sending messages

This is a BLE to WiFi gateway Reference Design. It employs an ESP32 microcontroller and an STM32WB5MMGH6TR for BLE functionality. The design includes connectors, multiple capacitors, resistors, switches, and LEDs. USB Type-C is used for power and data. This could be used for IoT purposes in home automation or wireless sensor data transmission. #referenceDesign #edge-computing #espressif #stm #template #ble #reference-design

This is a BLE to WiFi gateway Reference Design. It employs an ESP32 microcontroller and an STM32WB5MMGH6TR for BLE functionality. The design includes connectors, multiple capacitors, resistors, switches, and LEDs. USB Type-C is used for power and data. This could be used for IoT purposes in home automation or wireless sensor data transmission. #referenceDesign #edge-computing #espressif #stm #template #ble #reference-design

This is a BLE to WiFi gateway Reference Design. It employs an ESP32 microcontroller and an STM32WB5MMGH6TR for BLE functionality. The design includes connectors, multiple capacitors, resistors, switches, and LEDs. USB Type-C is used for power and data. This could be used for IoT purposes in home automation or wireless sensor data transmission. #referenceDesign #edge-computing #espressif #stm #template #ble #reference-design

Seeed Studio XIAO nRF52840 Sense is carrying Bluetooth 5.0 wireless capability and is able to operate with low power consumption. Featuring onboard IMU and PDM, it can be your best tool for embedded Machine Learning projects. #SeeedStudio #xiao

This is a WiFi to Infrared (IR) gateway reference design leveraging an ESP32-S3 microcontroller for WiFi connectivity. It also incorporates a Type-C USB interface for data and power, 3 LEDs (red, green, & IR), and voltage regulation. It facilitates wireless control of IR devices, suitable for home automation projects. #referenceDesign #edge-computing #espressif #template #IR #project #reference-design

This is a BLE to WiFi gateway Reference Design. It employs an ESP32 microcontroller and an STM32WB5MMGH6TR for BLE functionality. The design includes connectors, multiple capacitors, resistors, switches, and LEDs. USB Type-C is used for power and data. This could be used for IoT purposes in home automation or wireless sensor data transmission. #referenceDesign #edge-computing #espressif #stm #template #ble #reference-design

Seeed Studio XIAO ESP32C3 adopts new RISC-V architecture, supporting both Wi-Fi and BLE wireless connectivity. For Internet of Things applications, you will find it is flexible and suitable for all kinds of IoT scenarios. #SeeedStudio #xiao