# sensors Published articles for sensors. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Fanora Control Terminal: A Fan-Shaped Smart-Home Control Panel with Jade and Aluminum DevFeed: [Fanora Control Terminal: A Fan-Shaped Smart-Home Control Panel with Jade and Aluminum]() Original publisher: [Read original article]() Author: JC Torres Published: 2026-09-15T09:15:23Z Content type: article Language: en Sources: [Yanko Design]() Topics: [Automation](), [Terminal]() Tags: [a-design-award-and-competition](), [automation](), [gadgets](), [gadgets-homes-interiors-technology-a-design-award-and-competition-smart-home](), [home-automation](), [homes](), [interface](), [interiors](), [lighting](), [motion-detection](), [screen](), [sensors](), [smart-home](), [technology]() ### AI overview The article presents Fanora, a wall-mounted smart-home control panel shaped like a partially opened folding fan. It describes eight mechanical buttons, an aluminum body, a natural Hetian jade centerpiece, motion and temperature sensors, and customizable button labels for lighting and other home-automation scenes. ### Source excerpt Smart Home Panels Look Like Tech, Fanora Looks Like Fine Craft A folding fan used to say something about the person holding it, signaling taste and refinement long before anyone cared about voice assistants or smart... ## Building smarter AMRs with the Arduino® VENTUNO™ Q board DevFeed: [Building smarter AMRs with the Arduino® VENTUNO™ Q board]() Original publisher: [Read original article]() Author: Arduino Team Published: 2026-09-11T11:10:16Z Content type: article Language: en Sources: [Arduino Blog]() Topics: [Arduino](), [Physical AI](), [Microcontroller](), [Linux](), [Computer vision](), [real-time](), [systems]() Tags: [amr](), [arduino](), [autonomous-mobile-robots](), [computer-vision](), [featured](), [linux](), [mcu](), [physical-ai](), [real-time](), [robotics](), [robots](), [ros](), [sensor](), [sensors](), [ventuno-q]() ### AI overview The article explains how Arduino's VENTUNO Q board could support autonomous mobile robots by combining a Linux-capable MPU with a real-time MCU. The MPU can run Linux, ROS 2, navigation, computer vision, and AI workloads, while the MCU handles motor control, encoder feedback, inertial measurements, local sensing, and motor-driver communication. ### Source excerpt Physical AI is based on the idea that intelligence shouldn't stop at perception: instead, it should bring to life systems able to sense their environment, reason about it, and act on it - all in one continuous loop. It's what makes the difference between a device that observes and one that acts. Autonomous mobile robots [...] The post Building smarter AMRs with the Arduino® VENTUNO™ Q board appeared first on Arduino Blog. ## Meta's Next-gen MR Headset Appears to Have Leaked Ahead of Connect DevFeed: [Meta's Next-gen MR Headset Appears to Have Leaked Ahead of Connect]() Original publisher: [Read original article]() Author: Scott Hayden Published: 2026-09-11T08:53:50Z Content type: news Language: en Sources: [Road to VR]() Topics: [Meta](), [FIRST]() Tags: [leak](), [meta](), [meta-quest-3-news-reviews](), [news](), [os](), [sensors](), [xr-industry-news]() ### AI overview Images and video appearing to show Meta's Project Phoenix mixed reality headset have reportedly leaked ahead of Meta Connect. The material suggests a slim standalone headset with prescription lenses, hand and eye tracking, multiple sensors, and a cable-tethered compute unit, while its official name, price, and release date remain unknown. ### Source excerpt Images of Meta's 'Project Phoenix' mixed reality headset appear to have leaked ahead of its anticipated unveiling at Connect later this month. The News Serial leaker 'Luna' appears to have found video within Quest's Horizon OS showing off the headset's prescription lenses, which are apparently set to be released in partnership by Meta's official prescription [...] The post Meta's Next-gen MR Headset Appears to Have Leaked Ahead of Connect appeared first on Road to VR. ## First Clear Visuals Of Meta's Project Phoenix Headset Found In Quest Firmware DevFeed: [First Clear Visuals Of Meta's Project Phoenix Headset Found In Quest Firmware]() Original publisher: [Read original article]() Author: Luna Published: 2026-09-10T22:53:46Z Content type: news Language: en Sources: [UploadVR]() Topics: [Meta](), [phoenix](), [App](), [QR Code](), [Zip]() Tags: [devices](), [headsets-tech](), [meta](), [phoenix](), [qr-code](), [sensors](), [zip]() ### AI overview Meta's HorizonOS Prescription Lens app now contains clear visuals of the Project Phoenix headset. The images show prescription lens attachment and QR-code scanning, a slim glasses-style design with visible sensors, and a cable connecting the headset to a compute puck. ### Source excerpt The first visuals of Meta's Project Phoenix headset have been found in Horizon OS firmware, revealing a slim design with a tether for the compute puck. ## The Reflexes Machine turns a reaction game into an interactive experience DevFeed: [The Reflexes Machine turns a reaction game into an interactive experience]() Original publisher: [Read original article]() Author: Arduino Team Published: 2026-09-09T12:37:27Z Content type: article Language: en Sources: [Arduino Blog]() Topics: [Arduino](), [UNO Q](), [Computer vision](), [webcam](), [real-time](), [Hardware]() Tags: [architecture](), [arduino](), [building](), [camera](), [computer-vision](), [hardware](), [i2c](), [led](), [modulino-nodes](), [project](), [reaction-game](), [real-time](), [reflex-game](), [reflexes-machine](), [sensors](), [uno-q]() ### AI overview An Arduino community member built Reflexes Machine, an arcade-style reaction game using an Arduino UNO Q board, Modulino nodes, a USB camera, illuminated buttons, LED Matrix displays, and sound effects. The camera detects a player's face and automatically starts the countdown. ### Source excerpt What happens when you combine a little imagination with a powerful dual-brain board and a handful of building-block sensors? In the case of Arduino community member LucaDilo, you get a reaction game that doesn't simply wait for someone to press a button... it actually notices when you walk up and invites you to play. Reflexes [...] The post The Reflexes Machine turns a reaction game into an interactive experience appeared first on Arduino Blog. ## Home Hardware, Part 1: My Control4 Revenge Arc DevFeed: [Home Hardware, Part 1: My Control4 Revenge Arc]() Original publisher: [Read original article]() Published: 2026-09-08T00:34:58Z Content type: opinion Language: en Sources: [Jessie Frazelle]() Topics: [Home Assistant](), [Hardware](), [Bluetooth](), [Homekit](), [codex]() Tags: [api](), [bluetooth](), [codex](), [connect](), [hardware](), [home-assistant](), [homekit](), [sensor](), [sensors]() ### AI overview The author describes designing consumer hardware for a Home Assistant-based smart home, including a Bluetooth sensor hub and a maintenance display. The post discusses Bluetooth proxy range, regulatory constraints, testing considerations, and the use of NFC stickers for maintenance tracking, while reflecting on using Codex during the project. ### Source excerpt Fuck1 it, we're doing consumer hardware for ourselves now and getting fucked by economies of scale, I guess. This all started with me buying some Olimex Bluetooth proxies for Home Assistant. Then I started looking at the components and wondering if I could get better range. Now I'm designing boards, displays, and enclosures, and emailing manufacturers because their bezels are enormous. I've ordered the first two boards: a Bluetooth sensor hub and a little maintenance display. I've been working on this in Codex, and this post is going to go through what it was good at, where it got stuck or got things wrong, and where I had to step in. Why build this? Honestly, Control4, Savant, and the rest of these fucking systems seem built for rich people who don't know how to turn on their TV and would rather call someone. I want to program the fucking thing. Control4 puts HomeKit integration in its paid Connect tier.2 Why am I paying a recurring fee to connect things I already bought? I don't want to call a Control4 or Savant dealer, either, just because I want to change how something works. Give me API access or give me death. Source works too. I'll pick the hardware and connect it to Home Assistant, HomeKit, or my own code. If I want another sensor or some weird maintenance reminder, I can write that. It's my fucking house.31 Back to the Bluetooth proxies With a Bluetooth proxy, I can put the BLE radio near the sensors and get back to Home Assistant over the network.4 The machine running Home Assistant doesn't have to be within range of every sensor. When I mentioned my plans to Paul (paultag) over Slack, he pointed out that Olimex might be constrained by what the FCC allows, not just the components it picked. A radio supporting more transmit power doesn't mean you can use all of it.5 I hadn't thought about that. These are boards for my house. I'm not selling them. Fuck it, I'll build them and test them. I still have to measure the range; a bigger number on the radio's datash ## DIY ESP32-P4 weather station & air quality monitor connects to LoRa and ESP-NOW sensors, various weather APIs DevFeed: [DIY ESP32-P4 weather station & air quality monitor connects to LoRa and ESP-NOW sensors, various weather APIs]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-03T04:55:46Z Content type: article Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [ESP32-P4](), [ESP32](), [ESP-NOW](), [lora](), [Hardware](), [monitor](), [Embedded Systems](), [dashboards]() Tags: [arduino](), [ble](), [c-c-plus-plus](), [display](), [diy](), [esp-now](), [esp32](), [esp32-p4](), [espressif](), [hardware](), [iot](), [lora](), [monitor](), [sensors](), [touchscreen](), [waveshare](), [wifi](), [wifi-6](), [wireless]() ### AI overview This article describes an ESP32-P4 weather station and air quality monitor built from off-the-shelf boards. It uses a 10.1-inch dashboard, a Sensirion SEN66 multisensor, and LoRa and ESP-NOW sensor nodes, with optional weather data from several APIs and no required cloud account. ### Source excerpt Harald Kreuzer has built an ESP32-P4 weather station and air quality monitor that features a 10.1-inch dashboard display and a built-in Sensirion SEN66 sensor for particulate matter, CO2, VOC, and NOX, and connects to wireless LoRa and ESP-NOW sensors. The project is entirely made of off-the-shelf boards, so no custom hardware is used, and it should be relatively easy to reproduce. It doesn't require any cloud or user account, although it can connect to a choice of weather APIs (Open-Meteo, OpenWeatherMap or Visual Crossing) to display weather forecasts. The build is fully documented in a long blog post, so we'll highlight the key features of the project in this article. Hardware specifications for the main unit: Based on ESP32-P4-Module-DEV-KIT-C Credit card-sized ESP32-P4-Module-DEV-KIT SBC based on an ESP32-P4NRW32 module with ESP32-P4 with 32MB PSRAM and ESP32-C6 for WiFi and BLE 10.1-inch IPS panel with 1280 x 800 resolution, 800:1 contrast ratio, [...] The post DIY ESP32-P4 weather station & air quality monitor connects to LoRa and ESP-NOW sensors, various weather APIs appeared first on CNX Software - Embedded Systems News. ## ARK Just A Pi - A tiny NDAA-compliant Raspberry Pi CM5 carrier board for drones and robots DevFeed: [ARK Just A Pi - A tiny NDAA-compliant Raspberry Pi CM5 carrier board for drones and robots]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-08-31T10:49:27Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Raspberry Pi](), [Embedded Systems](), [Hardware](), [Ethernet]() Tags: [broadcom-bcmxxxx](), [camera](), [cm5](), [debian](), [drone](), [embedded](), [ethernet](), [hardware](), [hdmi](), [jetson-orin](), [linux](), [raspberry-pi](), [robotics](), [robots](), [sensors](), [som](), [usb]() ### AI overview The article reports on ARK Electronics' Just A Pi, a small NDAA-compliant carrier board for the Raspberry Pi Compute Module 5. It describes its connectors, interfaces, dimensions, weight, supported modules, installation requirements, and pricing. ### Source excerpt ARK Just A Pi is a tiny NDAA-compliant carrier board for the Raspberry Pi CM5 designed for drones, robots, or other space-constrained embedded applications that's about the size of the Compute Module itself. This follows ARK Electronics' NDAA-compliant ARK Jetson Orin NX/Nano bundles introduced in 2024. The new "Just A Pi" is much smaller and lighter, features a built-in 100 Mbps Ethernet switch with two JST-GH Ethernet ports, a micro HDMI port, two MIPI CSI camera connectors, a microSD card slot, a PCIe FFC connector, a USB 3.0 Type-C dual role connector, and a range of small connectors for UART, SPI, PWM, GPIO, and fan. It also features a power connector for the company's PAB power modules. ARK Just A Pi specifications: Supported SoM Raspberry Pi Compute Module 5 - Full support Raspberry Pi Compute Module 4 - The following interfaces are not supported: CSI1/CAM1, UART2, USB-C, PCIe, and fan [...] The post ARK Just A Pi - A tiny NDAA-compliant Raspberry Pi CM5 carrier board for drones and robots appeared first on CNX Software - Embedded Systems News. ## D-Robotics RDK S100P - A 128 TOPS alternative to NVIDIA Jetson Orin NX 16GB with Cortex-A78AE/R52+ cores DevFeed: [D-Robotics RDK S100P - A 128 TOPS alternative to NVIDIA Jetson Orin NX 16GB with Cortex-A78AE/R52+ cores]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-08-31T08:06:13Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Jetson](), [Robotics](), [Embedded Systems](), [Microcontroller](), [Jetson Orin](), [SOC](), [cpu](), [Arm](), [real-time](), [GPU](), [Linux](), [Nvidia]() Tags: [arm](), [artificial-intelligence-ai](), [camera](), [computer-vision](), [cortex-a78](), [cpu](), [deep-learning](), [development-kit](), [dfrobot](), [edge-ai](), [embedded](), [embedded-systems](), [gpu](), [hardware](), [jetson](), [jetson-orin](), [linux](), [mcu](), [networking](), [nvidia](), [os](), [processors](), [real-time](), [robotics](), [ros](), [safety](), [sensor](), [sensors](), [single-board-computer](), [soc](), [software](), [som](), [specifications](), [systems](), [ubuntu]() ### AI overview The D-Robotics RDK S100P is a robotics single-board computer featuring a 6-core Cortex-A78AE CPU, 4-core Cortex-R52+ MCU domain, 128 TOPS INT8 Nash BPU, Mali-G78AE GPU, and 24 GB of LPDDR5. Its MCU supports real-time motor and sensor control, potentially reducing the need for a separate real-time controller depending on the robot's requirements. ### Source excerpt D-Robotics RDK S100P development kit is a robotics SBC built around an S100P-based module providing an alternative to NVIDIA Jetson Orin NX 16GB with a 6-core Cortex-A78AE application cluster, a 4-core Cortex-R52+ MCU domain, a Nash BPU rated at 128 TOPS INT8, a Mali-G78AE GPU, and 24 GB of LPDDR5. The four R52+ cores can be configured for reliable real-time control: two cores run in lockstep for safety, and the other two support split-lock operation. In practice, the A78AE CPU and BPU can handle Linux and vision processing, while the MCU handles time-critical tasks such as motor and sensor I/O. This can reduce the need for a separate real-time controller, although whether it eliminates one depends on the robot and its requirements. RDK S100P specifications: SoC - D-Robotics S100P CPU - 6x Arm Cortex-A78AE @ 2.0 GHz (safety-capable AE cores) MCU - 4x Arm Cortex-R52+ @ 1.2 GHz (1x DCLS [...] The post D-Robotics RDK S100P - A 128 TOPS alternative to NVIDIA Jetson Orin NX 16GB with Cortex-A78AE/R52+ cores appeared first on CNX Software - Embedded Systems News. ## Motion, Stylus, Trackpads And Foldables In The Core DevFeed: [Motion, Stylus, Trackpads And Foldables In The Core]() Original publisher: [Read original article]() Author: Shai Almog Published: 2026-07-05T00:00:00Z Content type: tutorial Language: en Sources: [CodeName One]() Topics: [cross-platform](), [Hardware](), [Mobile](), [Large Screen](), [iOS]() Tags: [cross-platform](), [devices](), [hardware](), [ios](), [mobile](), [screen](), [sensors]() ### AI overview This article describes Codename One APIs for motion sensors, gesture recognition, detailed pointer and stylus input, wheel and trackpad events, context menus, and foldable-device support across multiple form factors. ### Source excerpt Motion sensors, gestures, pointer detail, wheel events, stylus input, trackpads and foldable posture are now core Codename One APIs. ## Sensereo joins Works with Home Assistant DevFeed: [Sensereo joins Works with Home Assistant]() Original publisher: [Read original article]() Author: Miranda Bishop Published: 2026-05-28T00:00:01Z Content type: news Language: en Sources: [Home Assistant]() Topics: [Home Assistant](), [Matter](), [Network]() Tags: [2026](), [battery](), [ecosystem](), [matter](), [products](), [safety](), [sensors](), [smart-home](), [thread](), [wireless](), [works-with-home-assistant]() ### AI overview Sensereo has joined the Works with Home Assistant program with Matter-based MS-1 smoke alarms and MSC-1 smoke and carbon monoxide alarms. The article explains how Matter and Thread support open, interoperable, energy-efficient smart-home devices while the alarms continue operating as regular alarms if the Thread network fails. Sensereo also plans to develop air quality sensors and other environmental sensing devices. ### Source excerpt We're sensing a change in the air this month as we welcome Sensereo to the Works with Home Assistant program 🎉. Specialists in environmental sensing, Sensereo brings Matter smoke and carbon monoxide (CO) alarms into the Home Assistant ecosystem - meaning more ways to keep your home open, safe, and sound. Built from a burning question... What happens if your smoke alarm goes off, but you're not there to hear it? It's an unsettling question, and one that led Roy Chen to found Sensereo in 2024. Driven to create safety devices that were equal parts reliable and resilient, Sensereo built the Matter-based MS-1 Smoke Alarm and MSC-1 Smoke and Carbon Monoxide Alarm, because as they put it: "every home deserves a system that will not fall silent when it matters most." It's just good sense For anyone unfamiliar, Matter is an open standard that lets smart home devices from different brands work together, regardless of who made them - no lock-in, no closed ecosystems. It's exactly the kind of open, interoperable technology the Open Home Foundation exists to champion. Thread operates on the same principle: it's an energy-efficient, wireless mesh network that connects devices directly to one another and can automatically reroute around disruptions. And for battery-powered alarms like Sensereo's, Thread's low-power design means fewer battery changes for devices that are always on duty. While we're talking about safety, it's important to note that if your Thread network did for any reason drop out, Sensereo's smoke and CO alarms will keep working as a "regular" alarm would - no smart home required. That peace of mind is central to how Sensereo thinks about their products, and having caught up with the team at CES 2026 earlier this year, we can tell you it's just the beginning. Air quality sensors and more are on the horizon, all building toward the same vision: to build an environmental intelligence system for the home that helps users understand and respond to their surroundings. "J ## How we Use Dagster Automations in our Data Pipeline DevFeed: [How we Use Dagster Automations in our Data Pipeline]() Original publisher: [Read original article]() Author: Delphine Rabiller Published: 2025-12-10T11:32:42Z Content type: article Language: en Sources: [FreeAgent]() Topics: [Automation](), [data](), [migration]() Tags: [analytics-engineering](), [automation](), [dagster](), [data-ml](), [data-pipeline](), [data-pipelines](), [declarative](), [migration](), [pipeline](), [scheduled](), [sensors](), [tooling](), [triggers]() ### AI overview This engineering post explains how FreeAgent is migrating data pipelines to Dagster and re-architecting its automation logic. It describes three approaches to automating asset materialization: schedules, declarative automation, and asset sensors, including when schedules are appropriate and how declarative automation uses asset dependencies and materialization status. ### Source excerpt Introduction The heart of a reliable data platform are robust and automated data pipelines. As our team migrates our data pipelines to Dagster, re-architecting our automation logic is a crucial task. Dagster offers condition-based approaches to creating or updating a data asset (table or file), moving us toward a modern, asset-centric view of data. This [...] ## Build a real-time equipment monitoring pipeline with Snowflake and MQTT DevFeed: [Build a real-time equipment monitoring pipeline with Snowflake and MQTT]() Original publisher: [Read original article]() Author: Sesethu Mhlana Published: 2025-09-16T00:00:00Z Content type: tutorial Language: en Sources: [Redpanda]() Topics: [Monitoring](), [MQTT](), [Internet of things](), [dashboards](), [Databases]() Tags: [connectors](), [data](), [database](), [heat](), [how-to](), [iot](), [manufacturing](), [metrics](), [monitoring](), [mqtt](), [operational](), [real-time](), [redpanda-connect](), [sensors](), [tutorial]() ### AI overview A tutorial showing how to build a real-time equipment monitoring pipeline for machine temperature data using IoT sensors, MQTT, Redpanda Connect, and Snowflake. It covers streaming sensor data, storing it in a database, and visualizing it in charts to support proactive maintenance, operational efficiency, safety, and compliance. ### Source excerpt Learn how to build an end-to-end, real-time equipment monitoring solution using MQTT, Redpanda Connect, and Snowflake. ## ClickHouse 25.6 summer bonus: CoalescingMergeTree table engine DevFeed: [ClickHouse 25.6 summer bonus: CoalescingMergeTree table engine]() Original publisher: [Read original article]() Author: ClickHouse Published: 2025-07-14T07:27:24Z Content type: article Language: en Sources: [ClickHouse Blog]() Topics: [clickhouse](), [Internet of things](), [data](), [Databases]() Tags: [clickhouse](), [configuration](), [data](), [firmware](), [gps](), [iot](), [sensors](), [speed](), [telemetry]() ### AI overview This article introduces CoalescingMergeTree, a new ClickHouse 25.6 table engine that consolidates sparse, append-only updates on disk. It is designed for fragmented data such as IoT device state, configuration snapshots, and telemetry, reducing row counts while preserving information. ### Source excerpt CoalescingMergeTree is a new table engine in ClickHouse 25.6 that consolidates sparse, append-only updates on disk. Ideal for IoT, ETL, and enrichment pipelines where data arrives in fragments over time. ## Top AI agent use cases across industries | Redpanda DevFeed: [Top AI agent use cases across industries | Redpanda]() Original publisher: [Read original article]() Author: Artem Oppermann Published: 2025-06-10T00:00:00Z Content type: article Language: en Sources: [Redpanda]() Topics: [AI Agent](), [Artificial Intelligence](), [autonomous vehicles](), [real-time](), [Reinforcement learning](), [Simulation](), [data](), [Security]() Tags: [ai](), [ai-agent](), [ai-agent-applications](), [ai-agent-capabilities](), [ai-agent-technology-advancements](), [ai-agent-use-cases](), [ai-agents-in-autonomous-vehicles](), [ai-decision-making-models](), [ai-for-efficiency-in-industries](), [ai-in-cybersecurity](), [autonomous-vehicles](), [camera](), [fundamentals](), [intelligent-virtual-assistant-ai](), [natural-language-processing-ai](), [radar](), [real-time](), [real-world-ai-agent-examples](), [reinforcement-learning](), [safety](), [sensor](), [sensor-fusion-in-ai-agents](), [sensors](), [simulation]() ### AI overview This article explains what distinguishes an AI agent from ordinary software and surveys AI agent use cases across industries. It focuses on autonomous vehicles, describing how perception, decision-making, control, sensor fusion, simulation, reinforcement learning, and safety protocols support real-time operation. ### Source excerpt Learn how AI agents are being used in the real world to solve problems, boost efficiency, and make work easier across different industries. ## NuttX for Motor Control and Sensing: MCPWM and DC Motor Control DevFeed: [NuttX for Motor Control and Sensing: MCPWM and DC Motor Control]() Original publisher: [Read original article]() Author: John Lee Published: 2025-05-16T00:00:00Z Content type: tutorial Language: en Sources: [Blog on Developer Portal]() Topics: [NuttX](), [ESP32-C6](), [real-time](), [Application Development](), [Development](), [Hardware]() Tags: [acquisition](), [apache](), [application-development](), [blog](), [esp32](), [esp32-c6](), [hardware](), [how-to](), [implement](), [imu](), [measurement](), [motor](), [nuttx](), [real-time](), [sensors](), [speed]() ### AI overview This tutorial demonstrates motor control and speed sensing on an ESP32-C6 using the NuttX RTOS. It covers MCPWM-based DC motor control, ADC-based potentiometer input, and quadrature encoder speed measurement, with the broader project intended to support wireless sensor data logging and analysis. ### Source excerpt This article demonstrates how to implement motor control and speed sensing on an ESP32-C6 using NuttX RTOS. It covers setting up MCPWM for motor control, ADC for potentiometer reading, and quadrature encoder for speed measurement. The implementation showcases NuttX's real-time capabilities through a practical example using common peripherals and sensors. ## KZG Ceremony Special Contributions DevFeed: [KZG Ceremony Special Contributions]() Original publisher: [Read original article]() Author: Carl Beekhuizen; Trent Van Epps Published: 2023-08-02T00:00:00Z Content type: article Language: en Sources: [Ethereum Foundation Blog]() Topics: [Ethereum](), [Software](), [Hardware]() Tags: [3d](), [contribution](), [contributions](), [ethereum](), [hardware](), [music](), [research-development](), [sensors](), [software](), [space](), [usb]() ### AI overview This post documents the Special Contribution Period of the KZG Ceremony, held from 1-16 April 2023. It explains how participants used varied methods, hardware, software, entropy-generation techniques, and group contributions to provide additional assurances, and links to records and media documenting the contributions. ### Source excerpt The Special Contribution Period for the KZG Ceremony ran 01-16 April 2023. This allowed participants to contribute in ways that may not have been possible in the Open Contribution period. While the Ceremony only needs a single honest participant to provide a secure output, Special Contributions provide additional assurances... ## What's new in Apache Airflow 2.2.0 DevFeed: [What's new in Apache Airflow 2.2.0]() Original publisher: [Read original article]() Author: Apache Airflow Published: 2021-10-11T00:00:00Z Content type: release Language: en Sources: [Apache Airflow Blog]() Topics: [airflow](), [async](), [data]() Tags: [airflow](), [apache-airflow](), [async](), [bug-fixes](), [new-features](), [release](), [scheduling](), [sensors]() ### AI overview Apache Airflow 2.2.0 is presented as a release with more than 600 commits since version 2.1.4, including new features, improvements, bug fixes, and documentation changes. Highlighted features include pluggable custom timetables for DAG scheduling and deferrable tasks that can return worker resources while waiting for asynchronous checks. ### Source excerpt I'm proud to announce that Apache Airflow 2.2.0 has been released. It contains over 600 commits since 2.1.4 and includes 30 new features, 84 improvements, 85 bug fixes, and many internal and doc changes. Details: 📦 PyPI: https://pypi.org/project/apache-airflow/2.2.0/ 📚 Docs: https://airflow.apache.org/docs/apache-airflow/2.2.0/ 🛠 Changelog: https://airflow.apache.org/docs/apache-airflow/2.2.0/changelog.html 🐳 Docker Image: docker pull apache/airflow:2.2.0 🚏 Constraints: https://github.com/apache/airflow/tree/constraints-2.2.0 As the changelog is quite large, the following are some notable new features that shipped in this release. Custom Timetables (AIP-39) Airflow has historically used cron expressions and timedeltas to represent when a DAG should run. This worked for a lot of use cases, but not all. For example, running daily on Monday-Friday, but not on weekends wasn't possible. To provide more scheduling flexibility, determining when a DAG should run is now done with Timetables. Of course, backwards compatibility has been maintained - cron expressions and timedeltas are still fully supported, however, timetables are pluggable so you can add your own custom timetable to fit your needs! For example, you could write a timetable to schedule a DagRun execution_date has long been confusing to new Airflowers, so as part of this change a new concept has been added to Airflow to replace it named data_interval, which is the period of data that a task should operate on. The following are now available: logical_date (aka execution_date) data_interval_start (same value as execution_date for cron) data_interval_end (aka next_execution_date) If you write your own timetables, keep in mind they should be idempotent and fast as they are used in the scheduler to create DagRuns. More information can be found at: Customizing DAG Scheduling with Timetables Deferrable Tasks (AIP-40) Deferrable tasks allows operators or sensors to defer themselves until a light-weight async check pass ## Espressif's March 2021 newsletter introduces free circuit and PCB design reviews DevFeed: [Espressif's March 2021 newsletter introduces free circuit and PCB design reviews]() Original publisher: [Read original article]() Author: John Lee Published: 2021-04-06T00:00:00Z Content type: article Language: en Sources: [Blog on Developer Portal]() Topics: [Espressif](), [ESP32](), [ESP32-C3](), [ESP8266](), [Bluetooth](), [Wi-Fi]() Tags: [blog](), [bluetooth-le](), [development-board](), [esp32](), [esp32-c3](), [esp8266](), [espressif](), [monitor](), [newsletter](), [sensors](), [tutorial](), [wi-fi]() ### AI overview Espressif's March 2021 newsletter announces free technical reviews of circuit schematics and PCB designs for products powered by its chips and modules. It also highlights the ESP32-C3-DevKitM-1, the NLC1242 data acquisition system, an ESP32 heart-rate monitoring tutorial, and an ESP8266-powered LED art project. ### Source excerpt Hi everyone, Have you noticed the newest addition to our services? We are very excited about enriching our set of customer services with free-of-charge reviewing services for circuit diagrams and PCB designs of products powered by Espressif's chips and modules. We have added this to our existing customer services, in order to ensure the technical accuracy of Espressif-powered products and their conformity to our high-quality standards. ## Using Serverless and IoT Sensors to Manage a Bathroom Queue DevFeed: [Using Serverless and IoT Sensors to Manage a Bathroom Queue]() Original publisher: [Read original article]() Author: Andrea Passwater Published: 2017-11-21T00:00:00Z Content type: tutorial Language: en Sources: [Serverless Blog]() Topics: [Serverless](), [Internet of things]() Tags: [aws](), [aws-lambda](), [cloud-computing](), [customers](), [faas](), [function-as-a-service](), [infrastructure-as-code](), [iot](), [sensors](), [serverless](), [serverless-architecture](), [serverless-framework](), [video]() ### AI overview A video from the October Serverless SF Meetup about using Serverless and IoT sensors to address a busy bathroom queue. ### Source excerpt Miss our October Serverless SF Meetup? Here's the video! Learn how to hack a hectic bathroom queue serverless-ly with IoT sensors. ## ESP8266 Wifi With Arduino Uno and Nano DevFeed: [ESP8266 Wifi With Arduino Uno and Nano]() Original publisher: [Read original article]() Author: Abhinaba Basu \[MSFT\] Published: 2016-01-23T15:37:42Z Content type: tutorial Language: en Sources: [Abhinaba Basu]() Topics: [Arduino](), [ESP8266](), [Internet of Things (IoT)](), [Internet of things](), [Lua]() Tags: [arduino](), [connectivity](), [esp8266](), [iot](), [sensors](), [wifi]() ### AI overview This tutorial explains how to connect an ESP8266 Wi-Fi module to an Arduino Uno or Nano. It covers the separate 3.3V power requirement, the module's higher current draw, serial communication limits, baud-rate configuration, and voltage compatibility between the boards. ### Source excerpt If you are trying to add Wifi connectivity to an existing Arduino project or have serious...