Thundercomm has launched the TurboX C7790 development kit, a compact edge AI platform built around the Qualcomm Dragonwing Q-7790 (CQ7790S) processor. The kit offers up to 24 TOPS of AI performance and support for both Android and Linux operating systems. The development kit pairs a TurboX C7790 system-on-module equipped with 12GB LPDDR5X RAM and 128GB flash with a carrier board featuring a wide range of interfaces from dual GbE to HDMI, USB-C, and MIPI DSI display interfaces. Target applications include AI cameras, video conferencing, robotics, and edge AI gateways. TurboX C7790 Development Kit specifications: System-on-Module – TurboX C7790 SoC – Qualcomm Dragonwing Q-7790 (CQ7790S) 4nm processor CPU – Octa-core Kryo processor up to 2.8 GHz 1x Gold+ core @ 2.8 GHz 4x Gold cores @ 2.4 GHz 3x Silver cores @ 1.8 GHz GPU – Qualcomm Adreno 722 GPU up to 1.15 GHz VPU Video Decode – 4K120 H.264/H.265/AV1 Video […]
Nuvoton NuMaker-GestureAI-M55M1 module combines Cortex-M55 MCU with GC0308 camera for AI gesture control
Back in November last year, we covered the launch of the NuMicro M55M1 MCU from Nuvoton, which combines an Arm Cortex-M55 core with an Ethos-U55 microNPU for on-device AI and gesture control. Now, they have released the NuMaker-GestureAI-M55M1, a development module based on that MCU for AI vision-related applications. This new board integrates the M55M1 MCU with a GC0308 CMOS image sensor, a digital microphone, and a microSD card slot for storing AI models. It is designed for applications such as gesture control, basic vision systems, and touchless interfaces. NuMaker-GestureAI-M55M1 specifications: MCU – Nuvoton NuMicro M55M1R2LJAE CPU – Cortex-M55 MCU @ 220 MHz Memory – 1.5 MB SRAM Storage – 2 MB Flash AI Accelerator – Arm Ethos-U55 micro-NPU @ 220 MHz Storage – MicroSD card slot (located on the back) for storing AI model files Camera – Integrated VGA GC0308 CMOS image sensor Audio – On-board digital microphone (DMIC) USB – […]
DEEPX DX-AIPlayer N97 mini PC combines Intel N97 SoC and 25 TOPS DX-M1 AI accelerator
DEEPX has just launched the DX-AIPlayer, an ultra-compact edge AI mini PC with an Intel Processor “Alder Lake-N” N97 SoC and the company’s DX-M1 M.2 AI accelerator module. The system is designed for real-time vision AI applications in robotics, smart cities, and factory automation. We’ve seen plenty of Alder Lake-N mini PCs like the Jetway B420UADN1, the Avalue EPC-ASL, the AAEON UP 710S, and various others, but the DX-AIPlayer N97 is different as it integrates the DX-M1 module via an M.2 2280 M-Key (PCIe Gen 3 x4) slot. The NPU delivers up to 25 TOPS of INT8 AI performance while consuming only 1 to 5 Watts of power, and features 4GB of dedicated LPDDR5 memory to handle larger workloads and multi-model execution without bottlenecking the host system’s RAM. DEEPX DX-AIPlayer N97 specifications: SoC – Intel Processor N97 quad-core processor up to 3.6 GHz with 6MB cache, 24 EU Intel UHD graphics […]
IP67-rated AI security camera feature Rockchip RV1126B or RK3576/J/M SoC for commercial, industrial, and automotive applications
Back in January 2024, Firefly released the CT36L AI smart security cameras, built around the Rockchip RV1106G2 SoC with a 0.5 TOPS NPU and Power over Ethernet (PoE) support. Now, Firefly has introduced two new AI cameras, the CQ38W-1126B and CQ38W-3576, which use a similar IP67-rated enclosure but come with much more powerful processors. Both new models no longer support PoE and instead use a 12V DC input, and they also add an RS485 interface. In terms of performance, the CQ38W-1126B is built around the Rockchip RV1126B with a 3 TOPS NPU and can run small multimodal AI models. The higher-end CQ38W-3576 features an octa-core Rockchip RK3576 with a 6 TOPS NPU, making it suitable for more demanding AI workloads, including YOLO and large language models. Both cameras are available with 3MP or 5MP sensors and come in Commercial or Industrial (J-suffix) variants. The 3576 series also adds an Automotive-grade […]
Cadence Tensilica HiFi iQ DSP to power next-generation Voice AI and Audio applications
Cadence Tensilica HiFi iQ DSP IP is the sixth generation of the company’s HiFi DSP family found in countless SoCs with audio features, and is based on a new architecture designed for next-generation voice AI and immersive audio applications. Compared to the Tensilica HiFi 5s DSP, the HiFi iQ DSP offers twice the compute performance, 8x higher AI performance, and more than 25% energy savings for most workloads, while delivering over 40% performance uplift on several audio codecs. The company claims it can act as an all-in-one AI processor for voice AI applications running popular SLMs and LLMs on the DSP itself. Tensilica HiFi iQ DSP key specifications: Load Units – 2 VLIW Slots – 5 Vector operations (SIMD) – 256-bit Accumulator Width – 80-bit Fixed Point MACs MACs for AI – Up to 128 16×8, up to 256 16×4 Optional instructions for AI (improved from HiFi 5s) Optional Vector […]
Firefly CAM-3576 series – Tiny Rockchip RK3576 SBCs for commercial, industrial, and automotive applications
Firefly Technology has introduced the CAM-3576 series of tiny (38 × 38 mm) SBCs based on the Rockchip RK3576 processor with a 6 TOPS NPU for AIoT, edge AI, smart vision, industrial, and automotive applications. It comes in three variants, which include the CAM-3576Q38 (commercial), the CAM-3576JQ38 (industrial), and the CAM-3576MQ38 (automotive) modules designed for smart cameras, intelligent security systems, dash cams, and private on-device AI model deployment. The CAM-3576 series supports up to 16GB of LPDDR5 RAM, up to 256GB eMMC flash, and also includes a microSD card for expansion. Additionally, the boards feature a MIPI CSI input for up to 16MP camera sensors with HDR support, Fast Ethernet, Wi-Fi 6, USB 2.0, USB-C (device), RS-485, UART, I²C, ADC, GPIOs, audio input/output, and RTC support. Firefly CAM-3576Q38 specifications: SoM – ICORE-3576Q38 SoC – Rockchip RK3576 (Q38 – Commercial) or Rockchip RK3576J (JQ38 – Industrial) or Rockchip RK3576M (MQ38 – Automotive) […]
Toradex Luna SL1680 – A “Pro Consumer” Raspberry Pi lookalike based on Synaptics SL1680 Edge AI SoC
Toradex Luna SL1680 is a credit card-sized single board computer heavily inspired by the Raspberry Pi 5 design, but powered by a Synaptics SL1680 quad-core Cortex-A73 SoC suitable for Edge AI applications thanks to a built-in 7.9 TOPS NPU. Designed for pro consumer and light industrial Edge AI applications, the Luna SL1680 ships with up to 4GB RAM and 256GB eMMC flash, and offers many of the same ports as the Pi 5, including a Gigabit Ethernet RJ45 port with optional PoE support, four USB 3.0 ports, two micro HDMI ports (but one Tx, one Rx), MIPI DSI and CSI connectors, and a 40-pin GPIO header. The 16-pin PCIe FFC connector is gone, making way for an M.2 Key-E socket, mostly useful for adding wireless connectivity. Toradex Luna SL1680 specifications: SoC – Synaptics SL1680 CPU – Quad-core Arm Cortex-A73 processor @ 2.1 GHz GPU – Imagination PowerVR Series9XE GE9920 GPU […]
Quarky Intellio – A LEGO-compatible AI, Augmented Reality, and IoT learning platform (Crowdfunding)
Quarky Intellio is an ESP32-S3-based development kit designed as an educational platform for learning AI, Augmented Reality (AR), and IoT concepts. It is compatible with LEGO bricks and targets users aged 10 and older. The core AI-AR module features an SPI TFT display interface, a 5MP camera, a speaker and microphone, a microSD card slot for data storage, a USB-C port for programming and charging, servo and GPIO expansion ports, and a 1,000 mAh battery. The company offers a discovery kit with the core module only as well as a rover car kit, and since it’s compatible with LEGO, users can easily create their own robot. Quarky Intellio specifications: Core module – Espressif Systems ESP32-S3-WROOM-1-N16R8 SoC – ESP32-S3 CPU – Dual-core LX7 processor with up to 240MHz Memory – 512KB SRAM, 8MB PSRAM (SiP) Storage – 384KB ROM Wireless – WiFi 4 802.11b/g/n and Bluetooth 5.0 LE Storage – 16MB flash […]

