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Open Nextion ESP32-S3 HMI Displays: A Review with Arduino IDE and ESP-IDF Framework

open nextion color compare 03

ITEAD has sent us samples of the Open Nextion ONX3248G035 and ONX2432G028 ESP32-S3 HMI displays for review. Open Nextion is a new product line that differs from the original Nextion HMI family, which relies on the Nextion Editor for UI design and UART communication for control. Instead, the Open Nextion features an ESP32-S3 wireless microcontroller handling logic processing, display control, and wireless connectivity, all in one integrated package. ITEAD fully supports the ESP-IDF framework and the Arduino IDE with LVGL graphics library support. The ONX3248G035 model features a 3.5-inch screen, while the ONX2432G028 variant has a 2.8-inch screen. The Open Nextion HMI wireless displays also take accessories such as a dual-microphone array, a speaker, and an I/Os adapter. The new Open Nextion product line is especially well-suited to embedded developers/makers who want an all-in-one board with HMI and wireless capabilities, IoT terminal and Smart HMI panel prototyping, students interested in […]

The post Review of Open Nextion ESP32-S3-based HMI displays with the Arduino IDE and the ESP-IDF framework appeared first on CNX Software – Embedded Systems News.

High-End 25MP Global Shutter Camera with 10GbE Interface Designed for NVIDIA Holoscan Platform

Leopardimaging LI-IMX530-10GigE-NL 10GigE Global Shutter IMX530 camera with Holoscan based solution

Leopard Imaging LI-IMX530-10GigE-NL is a high-end 25MP global shutter camera designed specifically for the NVIDIA Holoscan edge AI platform. The camera utilizes a 10GbE interface for high-bandwidth, low-latency data transmission, making it suitable for gesture recognition, iris scanning, head roll, and eye tracking. At the core of the camera module is the Sony IMX530, a 1.2-inch CMOS sensor with 5328 × 4608 resolution and a 2.74 μm pixel size. The sensor data is handled by a Lattice CertusPro-NX FPGA, and a Marvell 10GbE PHY takes care of high-bandwidth data transfer to GPU systems. The camera supports NVIDIA Jetson AGX Orin, IGX Orin, and Thor platforms. LI-IMX530-10GigE-NL specifications: FPGA – Lattice CertusPro-NX FPGA 52K to 96K logic cells 7.3 Mb total embedded memory External LPDDR4 memory support Up to 156x (18 x 18) multipliers within sysDSP blocks for AI/ML workloads 10 Gigabit Ethernet PCS blocks Image sensor Sony IMX530 Diagonal 19.3 mm […]

The post High-end 25MP global shutter camera with 10GbE interface is designed for NVIDIA Holoscan platform appeared first on CNX Software – Embedded Systems News.

Benchmarks Suggest MacBook Neo Rivals High-Performance Cloud Servers for Database Tasks

In an intriguing experiment, DuckDB’s Gábor Szárnyas assessed the 512GB MacBook Neo alongside various cloud servers to evaluate how Apple’s latest budget laptop handles demanding database tasks. Here’s the outcome.

### MacBook Neo faces off against cloud servers with up to 4× greater memory

In a blog entry titled [Big Data on the Cheapest MacBook](https://duckdb.org/2026/03/11/big-data-on-the-cheapest-macbook) (via [Boing Boing](https://boingboing.net/2026/03/13/apples-cheapest-laptop-beat-a-cloud-server-with-4x-the-memory.html)), Szárnyas details how he evaluated the [MacBook Neo](https://amzn.to/47vJmkn) using two benchmarks: ClickBench and TPC-DS:

> ClickBench consists of 43 queries concentrating on aggregation and filtering tasks. These operations execute on a single extensive table containing 100M rows, which uses approximately 14 GB when serialized into Parquet and 75 GB when kept in CSV format.

> TPC-DS involves 24 tables and 99 queries, many of which are more intricate and feature elements like window functions. Although TPC-H has been excessively optimized, TPC-DS results still hold some degree of significance.

In every test, the [MacBook Neo](https://amzn.to/47vJmkn) was compared against two cloud instances:

– c6a.4xlarge featuring 16 AMD EPYC vCPU cores and 32 GB RAM.
– c8g.metal-48xl equipped with an exceptional 192 Graviton4 vCPU cores and 384 GB RAM.

For the ClickBench benchmark, they executed two tests: a cold run, assessing performance with empty caches, and a hot run, measuring performance once the system benefits from caching.

In the cold run, the [MacBook Neo](https://amzn.to/47vJmkn) significantly outperformed both cloud instances, completing all queries in under a minute, achieving speeds up to 2.8 times faster than its competitors.

While this is remarkable, DuckDB clarifies that:

> Naturally, if we examine the setups more closely, an explanation emerges. The cloud instances utilize network-attached disks, and accessing the database on these influences the overall query durations. The MacBook Neo employs a local NVMe SSD, which, while not top-tier, still offers fairly rapid access during the initial read.

The scenario shifted during the hot run test: c8g.metal-48xl completed the test in 4.35 seconds, c6a.4xlarge followed as a distant second at 47.86 seconds, and the [MacBook Neo](https://amzn.to/47vJmkn) came in last at 54.27 seconds, about 10% quicker than in the cold run.

Notably, regarding median query durations, the [MacBook Neo](https://amzn.to/47vJmkn) can still outperform the c6a.4xlarge, which is a mid-range cloud instance. Additionally, the total runtime of the laptop is only roughly 13% slower, despite the cloud instance possessing 10 additional CPU threads and four times the RAM.

Concerning the TCP-DS benchmark, DuckDB provides somewhat less comparative information but indicates that the [MacBook Neo](https://amzn.to/47vJmkn) still performed admirably given its specifications:

> At SF100, the laptop navigated most queries effortlessly with a median query runtime of 1.63 seconds and a total runtime of 15.5 minutes.

> At SF300, the limitations of memory began to surface. Although the median query runtime remained impressive at 6.90 seconds, DuckDB occasionally consumed up to 80 GB of space for disk spilling, and it became apparent that some queries would require extended time. Notably, query 67 took 51 minutes to finish. However, hardware and software continued to collaborate effectively, ultimately completing all queries in 79 minutes.

Interestingly, this was not the first instance of testing the A19 Pro chip. When the iPhone 16 Pro was released, they [conducted the TCP-H benchmark](https://duckdb.org/2024/12/06/duckdb-tpch-sf100-on-mobile#a-song-of-dry-ice-and-fire) with the device submerged in a bucket of dry ice at -50ºC, where it finished the run in 478.2 seconds.

To discover more about DuckDB’s benchmarks on the MacBook Neo, [follow this link](https://duckdb.org)

Impacts of Keeping Your Android Phone Powered On Constantly

things you definitely shouldn’t do with your Android device.

An Android phone is generally meant to be powered on around the clock, keeping you in touch with your news, social media, and everything else. Similar to other electronic devices in your home, particularly your PC, an Android smartphone functions somewhat like a living entity. It requires regular breaks to remove old data and protect itself from potential threats. Your device can run for days without needing a complete shutdown, certainly, but if you remember to give it a decent pause at least weekly, you might notice your phone operates a bit more reliably. Occasionally rebooting may also contribute to your phone’s overall lifespan.

Remaining powered can result in memory leaks and security vulnerabilities

Incredible Characteristics of a 1930s ‘Smart Home’ Uncovered

In the beginning of 2025, the History Channel reality program “American Pickers” highlighted what might be termed a “smart home” from the 1930s. It provides an intriguing look not only at the progression of technology but also at the ingenuity of the homeowner in that era. Previously owned by telecommunications pioneer W.J. Moore, the residence situated in Caro, Michigan, boasts a distinctive design and arrangement. The show’s hosts referred to it as the “wizard’s castle,” labeling it “without a doubt the most customized home I’ve ever visited in America.” Most notably, it includes features that today, nearly a century later, could be recognized as early examples of the smart home concept.

Given Moore’s background in the formative periods of technological advancement, having established Moore Telephone Manufacturing Company and Moore Telephone System in the late 1800s, it’s understandable that the residence would incorporate what people of that time might have labeled high-tech innovations. Today, however, they seem basic compared to our AI-enhanced smart home environment. Nevertheless, it offers a captivating look into the past and the preliminary developments in smart management for lights, locks, even a home security system and garage door opener.

Preliminary automation

The automation of chores using fundamental smart home devices is at the heart of modern smart homes, and Moore devised an analog approach to achieve this long before this century. For instance, the carriage house, which functioned as his workshop, contains a pulley system that operates like a primitive version of an automatic garage door opener. Another pulley system was constructed for a zipline that extended over the backyard pool, enabling him to drop in from a model plane, with the homeowner sharing an image of Moore using it in the ’50s.

Within the house, there’s hardwiring that manages everything from door locks to lighting, arguably the earliest recognized form of smart lights and remotely controllable locks. Although he couldn’t rely on voice commands or applications to illuminate the lights or secure the door, he devised an intricate control panel — akin to smart control hubs or smart displays, similar to devices like the Amazon Echo Hub and tablets like the Google Pixel Tablet and Apple iPad, all of which can serve as gateways to manage smart home devices. It was designed so he could complete tasks with a simple button press. He configured what could be seen as zones with titles such as “south hall” to manage only the connected devices in that region. The family’s notes outlining instructions that Moore typed are still preserved, offering insight into how he organized everything and how it functioned at one point.

A glimpse into the future

Moore was evidently ahead of his era, extending beyond mere automation with a self-created alarm system. A clever interpretation of a smart security setup or smart alarm, it had the ability to lock doors, activate lights, and notify emergency services through a connection to his telephone line in case of a break-in. No fees or subscriptions were necessary. The control panel also included light indicators to convey the status of water pumps, an impressive alternative to push notifications and other mobile alerts for its time. Comparable indicator lights were established in other parts of the house, such as near the fireplace, so he could be aware when a door was ajar, for example. Essentially, he had his own rendition of a Ring video doorbell or smart lock application through physical, illuminating buttons.

While the devices and mechanisms in the home no longer operate, there are efforts in place to restore it to its initial condition. From a technological viewpoint, it offers a remarkable look back at how the notion of automating tasks and developing smart devices in the home isn’t as recent as we believed. The technology is certainly dwarfed by today’s advancements, but during that time, they would have been considered equally revolutionary. You can view the segment of “American Pickers” Season 23, Episode 19, on the History Channel or YouTube.