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December 2, 2022 by Jean-Luc Aufranc (CNXSoft) - No Comments

Arducam OCam AI camera adds context to video streams in real-time with the PhysicO platform

Arducam OCam, whose name stands for Object Camera, is an AI camera with 3 TOPS of AI performance and designed to work with OStream‘s PhysicO Edge AI media platform that adds context to MP4 video streams in real-time. The camera supports resolutions from QVGA to 2K, takes USB or PoE power, comes with a drag-and-drop AI pipeline for easy programming/configuration, and is also compatible with common AI tools such as TensorFlow, PyTorch, Edge Impulse, and others. Arducam OCam specifications: Resolution – QVGA up to 2K Frame Rate – Up to 60 fps FoV – 80° Audio – Dual beamforming AI processing power – Up to 3 TOPS Power Supply 5V via USB PoE Power Consumption – Up to 5 Watts Dimensions – 10 cm Φ x 3 cm Weight – 400 grams As I understand it, the AI pipeline – named ObjectAgent – runs on the camera itself, and adds […]

December 2, 2022December 2, 2022 by Jean-Luc Aufranc (CNXSoft) - 75 Comments

$6 Pine64 Ox64 SBC features BL808 64-bit/32-bit RISC-V multi-protocol WiSoC with 64MB RAM

Pine64 Ox64 is a single board computer powered by Bouffalo Lab BL808 dual-core 64-bit/32-bit RISC-V processor with up to 64MB embedded RAM, multiple radios for WiFi 4, Bluetooth 5.0, and 802.15.4 (Zigbee), as well as an AI accelerator. The board also features up to 16MB XSPI NOR flash, a MicroSD card socket, a USB 2.0 OTG port with support for a 2-lane MIPI CSI camera module, and two 20-pin GPIO headers for expansion. It measures just 51 x 21mm, or in other words, is about the size of a Raspberry Pi Pico W. Pine64 Ox64 specifications: SoC – Bouffalo Lab BL808 with: CPU Alibaba T-head C906 64-bit RISC-V core @ 480MHz Alibaba T-head E907 32-bit RISC-V core @ 320MHz Alibaba T-head E902 32-bit RISC-V @ 150MHz Memory – 728KB SRAM, 64MB embedded DRAM AI accelerator – NPU BLAI-100 (Bouffalo Lab AI engine) for video/audio detection/recognition Wireless 2.4 GHz 802.11 b/g/n […]

November 29, 2022 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

Allwinner V3LP gets low voltage RAM, should replace Allwinner V3S dual camera SoC

Allwinner V3LP is a single-core Cortex-A7 processor for dual-camera systems with the exact same specifications as the Allwinner V3S processor introduced in 2016, except it should be more power efficient with a lower DDR operating voltage of 1.5V instead of 1.8V. Sochip explains that procuring the integrated DDR2 in the Allwinner V3s design is challenging, so Allwinner has replaced the memory in the pin-to-pin compatible Allwinner V3LP with more broadly available and lower power RAM. Allwinner V3LP specifications: CPU – ARM Cortex-A7 @ up to 1.2 GHz Memory – Integrated 64MB DDR2 DRAM @ 1.5 V Storage I/F – SD 2.0, eMMC 4.41, SPI NAND flash, SPI NOR flash Audio Codec – 92dB audio codec supporting 2x ADC channels and 2x DAC channels, 1x low-noise analog microphone bias output, 1x microphone input and 1x stereo microphone output Video Processing Unit Encoding – 1080p@40fps or 1080p@30fps + VGA@30fps H.264 Decoding – […]

November 18, 2022November 18, 2022 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

NVIDIA Jetson Nano based AI camera devkit enables rapid computer vision prototyping

ADLINK “AI Camera Dev Kit” is a pocket-sized NVIDIA Jetson Nano devkit with an 8MP image sensor, industrial digital inputs & outputs, and designed for rapid AI vision prototyping. The kit also features a Gigabit Ethernet port, a USB-C port for power, data, and video output up to 1080p30, a microSD card with Linux (Ubuntu 18.04), and a micro USB port to flash the firmware. As we’ll see further below it also comes with drivers and software to quickly get started with AI-accelerated computer vision applications. AI Camera Dev Kit specifications: System-on-Module – NVIDIA Jetson Nano with CPU – Quad-core Arm Cortex-A57 processor GPU – NVIDIA Maxwell architecture with 128 NVIDIA cores System Memory – 4 GB 64-bit LPDDR4 Storage – 16 GB eMMC Storage – MicroSD card socket ADLINK NEON-series camera module Sony IMX179 color sensor with rolling shutter Resolution – 8MP (3280 x 2464) Frame Rate (fps) – […]

November 8, 2022November 10, 2022 by Jean-Luc Aufranc (CNXSoft) - 123 Comments

Giveaway Week – e-con Systems e-CAM20_CURB camera

Today, we’re giving away the e-con Systems e-CAM20_CURB is a 2.3MP color camera with a global shutter that is designed to work with Raspberry Pi 4 SBC. The camera is based on ON Semiconductor AR0234CS CMOS sensor and supports uncompressed video at 1920 x 1200 (2.3MP) up to 60 fps, 1920 x 1080 (Full HD) up to 65 fps, and 1280 x 720 (HD) up to 120 fps. I just completed the e-CAM20_CURB camera review with Raspberry Pi 4 last weekend and found the video smoothness and quality to be much better than most cameras I’ve tried when there is motion, even in relatively dark scenes, since motion blur and artifacts are reduced. The company provides Yocto Linux and Raspbian/Raspberry Pi OS images with V4L2 drivers and Gstreamer tools, and the camera was fairly easy to use with the Yocto image thanks to the useful documentation provided with the kit. […]

November 5, 2022November 5, 2022 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Getting started with e-CAM20_CURB camera for Raspberry Pi 4

e-con Systems e-CAM20_CURB is a 2.3 MP fixed focus global shutter color camera designed for the Raspberry Pi 4, and the company has sent us a sample for evaluation and review. We’ll start by providing specifications, before checking out the package content, connecting the camera to the Raspberry Pi 4 with a DIY LEGO mount, showing how to access the resources for the camera, and trying tools provided in the Raspberry Pi OS or Yocto Linux image. e-CAM20_CURB specifications The camera is comprised of two boards with the following specifications: eCAM217_CUMI0234_MOD full HD color camera with 4-lane MIPI CSI-2 interface ON Semiconductor AR0234CS CMOS sensor with 1/2.6″ optical form-factor Global Shutter Onboard ISPimage sensor from ON Semiconductor Uncompressed UYVY streaming HD (1280 x 720) up to 120 fps Full HD (1920 x 1080) up to 65 fps 2.3 MP (1920 x 1200) up to 60 fps External Hardware Trigger Input […]

October 31, 2022 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

TinyML-CAM pipeline enables 80 FPS image recognition on ESP32 using just 1 KB RAM

TinyML-CAM image recognition microcontroller boards

The challenge with TinyML is to extract the maximum performance/efficiency at the lowest footprint for AI workloads on microcontroller-class hardware. The TinyML-CAM pipeline, developed by a team of machine learning researchers in Europe, demonstrates what’s possible to achieve on relatively low-end hardware with a camera. Most specifically, they managed to reach over 80 FPS image recognition on the sub-$10 ESP32-CAM board with the open-source TinyML-CAM pipeline taking just about 1KB of RAM. It should work on other MCU boards with a camera, and training does not seem complex since we are told it takes around 30 minutes to implement a customized task. The researchers note that solutions like TensorFlow Lite for Microcontrollers and Edge Impulse already enable the execution of ML workloads, onMCU boards, using Neural Networks (NNs). However, those usually take quite a lot of memory, between 50 and 500 kB of RAM, and take 100 to 600 ms […]

October 30, 2022October 30, 2022 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

SONOFF NSPanel Pro control panel review with Zigbee modules, CAM Slim WiFi camera

ITEAD has sent us a Smart Home kit for review including the SONOFF NSPanel Pro Android control panel and Zigbee gateway, an enclosure stand, the CAM Slim WiFi camera, and four Zigbee modules, namely the SNZB-01 wireless switch, the SNZB-02 temperature & humidity sensor, the SNZB-03 motion sensor, and the SNZB-04 door/window sensor. In this review, we’ll configure the NSPanel Pro controller with the eWelink app in Android, show how to add the WiFi camera and Zigbee devices directly to NSPanel Pro, and go back to the eWelink app for more advanced features such as scenes with triggers and actions. Sonoff NSPanel Pro kit unboxing Let’s get started by having a closer look at the SONOFF NSPanel Pro controller. As previously noted, the device is based on Rockchip PX30 quad-core Cortex-A35 processor and runs Android 8.1. It acts both as a control panel and a WiFi to Zigbee 3.0 gateway. The […]