Debashis Das, Author at CNX Software

August 7, 2026August 7, 2026 by Debashis Das - No Comments

Token Monitor – An ESP32-S3 desktop display that tracks AI coding assistant usage (Crowdfunding)

TokenMonitor supports Claude Code, Codex, Antigravity, and customizable dashboard views

Fractal Manifold has introduced the Token Monitor, a 4-inch ESP32-S3-based desktop display for monitoring real-time AI coding assistant usage. The device features a 4-inch 480×480 IPS touchscreen with 5-point capacitive touch, Wi-Fi 4 and Bluetooth LE 5 wireless connectivity, USB-C power, optional 1-cell Li-ion battery support via an AXP2101 PMIC, and two side buttons for power and boot functions. It shows usage information including quota consumption, session limits, token counts, reset timers, and estimated token costs. A local broker service fetches the usage data and transfers it to the device over a secure connection, keeping credentials on the user’s machine. Token Monitor specifications: SoC – Espressif Systems ESP32-S3 CPU – Dual-core Tensilica LX7 up to 240 MHz with vector extension for AI/ML workloads RAM – 512KB SRAM; 8MB PSRAM Wireless – WiFi 4 and Bluetooth LE 5 Storage – 16MB flash Display – 4-inch 480×480 capacitive touchscreen with ST7701 driver and […]

August 5, 2026August 5, 2026 by Debashis Das - No Comments

ZecTrix Note 4 – A 4.2-inch ESP32-S3 wireless e-paper display for voice tasks

ZecTrix Note 4 4.2 inch AI e paper smart note

Designed by ZecTrix Lab in China, the Note 4 is an ESP32-S3-based AI smart note with a 4.2-inch e-paper display and built-in voice input. The device is designed to display reminders, notes, clocks, weather, images, and custom templates, while the Note 4C variant replaces the monochrome display with a four-color e-paper panel. The device features 2.4GHz Wi-Fi and Bluetooth 5.0 connectivity, a microphone, a speaker, NFC, physical buttons, a USB Type-C port, a 2,000mAh rechargeable battery, and GPIO expansion for custom hardware projects. ZecTrix Note 4 / Note 4C specifications: SoC – Espressif Systems ESP32-S3 CPU – Dual-core Tensilica LX7 up to 240 MHz with vector extension for AI/ML workloads RAM – 512KB SRAM; 8MB PSRAM Wireless – WiFi 4 and Bluetooth LE 5 Storage – 16MB flash Display Note 4 – 4.2-inch monochrome E-Ink display, 400 × 300 resolution; supports partial refresh Note 4C – 4.2-inch four-color (BWRY) E-Ink display, […]

August 5, 2026August 5, 2026 by Debashis Das - No Comments

CtrlVibe AI Console keypad – An OpenAI Codex Micro alternative for AI workflows (Crowdfunding)

The CtrlVibe AI Console is a programmable desktop keypad designed for AI workflows. The device includes hardware controls for switching between AI tools, launching shortcuts, selecting execution modes, and recording voice input. It comes with nine programmable mechanical keys, a rotary encoder, a three-position switch, a 1.14-inch LCD, a built-in MEMS microphone, USB-C and Bluetooth connectivity, and RGB status lighting. The features and specifications of the CtrlVibe make it an alternative to Work Louder Codex Micro, a $230 mechanical macropad designed for OpenAI Codex. There is also an open-source firmware project available for the M5Stack Core2 that reproduces many of the Codex Micro’s features. While the Codex Micro is designed specifically for OpenAI Codex, the CtrlVibe AI Console can be used with multiple AI tools and uses a rotary encoder to switch between applications or models, along with a three-position hardware switch for selecting AI execution modes. CtrlVibe AI Console […]

July 30, 2026 by Debashis Das - 2 Comments

NightRun UEFI application boots a local LLM on Raspberry Pi 5 and x86 PCs without an OS

Running LLMs locally on an SBC or mini PC is a good way to keep your data private, but they typically require a conventional operating system, which uses a good portion of system memory. NightRun is an experimental open-source project that addresses this issue by booting a machine directly into a local LLM from a USB drive or microSD card, without loading a conventional OS. By removing the operating system, NightRun makes more RAM and memory bandwidth available for AI inference. The runtime is written in Rust, and during boot it loads a quantized model (1.3 GB to 2.4 GB) directly into RAM while verifying its CRC-32 checksums. After the model is loaded, storage is “sealed,” meaning any later attempt to read from the disk will trigger a hard fault. NightRun key features: Hardware support – Supports 64-bit x86_64 UEFI PCs (Secure Boot disabled) and Raspberry Pi 5 via USB […]

July 30, 2026July 30, 2026 by Debashis Das - No Comments

Luxonis M8 Controller Box adds industrial I/Os, CAN Bus, and relay control to OAK4 AI vision cameras

Luxonis has introduced a prototype of the M8 Controller Box, an industrial I/O expansion module for OAK4 AI vision edge AI cameras powered by a Qualcomm DragonWing QCS8550. Connected through the camera’s M8 interface, it adds GPIO, relay, CAN, serial, and USB connectivity, allowing OAK4-based systems to interface directly with sensors, actuators, PLCs, motors, and other industrial equipment for machine vision and automation applications. The prototype module features 16 GPIOs, four 16A relays, CAN 2.0, RS232, two USB 2.0 Type-A ports, an isolated strobe output, onboard audio, three buttons, and three status LEDs. It is powered directly from the OAK4 M8 connector, and supports DIN rail and VESA mounting. Luxonis M8 Controller Box specifications: MCU – Raspberry Pi RP2040 dual-core Arm Cortex M0+ @ 133 MHz with 264KB SRAM Host interface M8 connector for connecting Luxonis OAK4 cameras (standalone mode only) M8 passthrough port Audio 3.5mm headphone/AUX jack with mic input Onboard […]

July 29, 2026July 29, 2026 by Debashis Das - No Comments

NXP RW610FML Wi-Fi 6 and BLE 5.4 module features RW610 Cortex-M33 wireless MCU

NXP RW610FML Scalable Wi Fi 6 and Bluetooth LE Combo Module

NXP has introduced the RW610FML, a compact, low-power, certified Wi-Fi 6 and Bluetooth Low Energy (BLE) 5.4 wireless module based on the company’s RW610 Cortex-M33 microcontroller, the little brother of the RW612 without an 802.15.4 radio. Designed for smart appliances, home automation, industrial gateways, and medical devices, the surface-mount module combines the 260 MHz Arm Cortex-M33 wireless SoC with 8MB of on-module NOR flash, a built-in antenna, an RF matching circuit, and a crystal oscillator. NXP RW610FML Specifications: Wireless MCU – NXP RW610 CPU Core – 260 MHz Arm Cortex-M33 core with Arm TrustZone-M Internal memory – 1.2 MB embedded on-chip SRAM Connectivity Wi-Fi – Dual-band 2.4 GHz and 5 GHz Wi-Fi 6 (IEEE 802.11a/b/g/n/ac/ax) SISO 20 MHz channel bandwidth Up to MCS9 (114 Mbps) peak data rate Bluetooth – Bluetooth Low Energy (LE) supporting 2 Mbit/s high-speed mode, long-range operation, and extended advertising Storage – 8 MB NOR flash Castellated […]

July 29, 2026 by Debashis Das - No Comments

Sovol M1D hybrid IDEX 3D printer features 6 interchangeable toolheads for multi-color and multi-material prints (Crowdfunding)

Sovol has launched the M1D, an open-source IDEX (Independent Dual Extruder) 3D printer with a fixed dual-extruder architecture and interchangeable toolheads that support up to seven independently heated toolheads (one fixed and six swappable). It comes in two variants: the open-frame M1D Essential and the M1D Advanced, which adds a full enclosure and a chamber heating module capable of reaching up to 60°C. The M1D uses a patented automatic tool changer for swapping print heads in as little as five seconds and supports Single, Multi-Head, Copy, and Mirror printing modes. It enables multi-material or/and multi-color prints, including adding water-soluble support to a print to remove the need to manually remove support (see video at the end of this post for demo). The printer targets makers, engineers, prototype development, and small-scale production by reducing purge waste while improving printing efficiency and material flexibility. Sovol M1D specifications: Printing technology – FDM (Fused Deposition Modeling) Storage – […]

July 28, 2026 by Debashis Das - No Comments

DFI X6X-ORN – An IP67-rated, rugged Jetson Orin NX/Nano edge AI computer with GMSL2 camera support

DFI X6X ORN Jetson IP67 fanless edge AI computer

The DFI X6X-ORN is a fanless, IP67-rated Edge AI computer powered by the NVIDIA Jetson Orin NX/Nano. It is designed for extreme outdoor and industrial environments in maritime, agriculture, construction, and intelligent transportation applications. The system fully relies on rugged M12 and M20 circular waterproof connectors for all its I/O, including PoE and GMSL2 camera interfaces. It delivers up to 157 TOPS of AI performance when equipped with the Jetson Orin NX 16GB module, complies with MIL-STD-810H shock and vibration standards, and supports an operating temperature range of -20°C to 60°C. DFI X6X-ORN specifications: SoM – NVIDIA Jetson Orin NX/Nano module Jetson Orin NX 16GB – Up to 157 TOPS, 16GB LPDDR5, 10W/15W/25W/ 40W power modes Jetson Orin NX 8GB – Up to 117 TOPS, 8GB LPDDR5, 10W/15W/25W/40W power modes Jetson Orin Nano 8GB – Up to 67 TOPS, 8GB LPDDR5, 7W/10W/25W power modes Jetson Orin Nano 4GB – Up […]