Raspberry Pi Camera Module 3 launched with autofocus and HDR

Raspberry Pi Camera 3

Raspberry Pi Trading has launched the Camera Module 3, their first camera module supporting autofocus and HDR, designed to work with all Raspberry Pi boards that can take a camera, and offered with either a standard or wide field-of-view, and an optional infrared cut filter. All four variants of the new camera module are equipped with a Sony IMX708 12MP sensor that supports high-dynamic range (HDR) and features phase detection autofocus. The Camera Module 3 has the same X/Y dimensions and mounting holes as the popular Camera Module 2 launched in 2016, but is several millimeters taller due to the improved optics. Raspberry Pi Camera Module 3 specifications: 12MP Sony IMX708 back-illuminated and stacked CMOS image sensor Sensor size – 7.4mm diagonal Pixel size: 1.4μm x 1.4μm Resolution  – 4608 x 2592 pixels FoV – See comparison table between different models below Common video modes: 1080p50, 720p100, 480p120 Autofocus system: […]

Orbbec Femto Mega 3D depth and 4K RGB camera features NVIDIA Jetson Nano, Microsoft ToF technology

Femto Mega 3D camera

Orbbec Femto Mega is a programmable multi-mode 3D depth and RGB camera based on NVIDIA Jetson Nano system-on-module and based on Microsoft ToF technology found in Hololens and Azure Kinect DevKit. As an upgrade of the earlier Orbbec Femto, the camera is equipped with a 1MP depth camera with a 120 degrees field of view and a range of 0.25m to 5.5m as well as a 4K RGB camera, and enables real-time streaming of processed images over Ethernet or USB. Orbbec Femto Mega specifications: SoM – NVIDIA Jetson Nano system-on-module Cameras 1MP depth camera Precision: ≤17mm Accuracy: < 11 mm + 0.1% distance NFoV unbinned & binned:H 75°V 65° WFoV unbinned & binned:H 120°V 120° Resolutions & framerates NFoV unbinned: 640×576 @ 5/15/25/30fps NFoV binned: 320×288 @ 5/15/25/30fps WFoV unbinned: 1024×1024 @ 5/15fps NFoV binned: 512×512 @ 5/15/25/30fps 4K RGB camera FOV – H: 80°, V: 51°b D: 89°±2° Resolutions […]

ArduCam Mega – A 3MP or 5MP SPI camera for microcontrollers (Crowdfunding)

Arducam Mega SPI camera

ArduCam Mega is a 3MP or 5MP camera specifically designed for microcontrollers with an SPI interface, and the SDK currently supports Arduino UNO and Mega2560 boards, ESP32/ESP8266 boards, Raspberry Pi Pico and other boards based on RP2040 MCU, BBC Micro:bit V2, as well as STM32 and MSP430 platform. Both cameras share many of the same specifications including their size, but the 3MP model is a fixed-focus camera, while the 5MP variant supports autofocus. Potential applications include assets monitoring, wildfire monitoring, remote meter reading, TinyML applications, and so on. ArduCam Mega specifications: Camera Type 3MP with fixed focus 5MP with auto-focus from 8cm to infinity Optical size – 1/4-inch Shutter type – Rolling Focal ratio 3MP – F2.8 5MP – F2.0 Still Resolutions 320×240, 640×480, 1280×720 x 1600 x1200x 1920 x 1080 3MP – 2048 x 1536 5MP – 2592×1944 Output formats – RGB, YUV, or JPEG Wake-up time 3MP – […]

T-Camera S3 – An ESP32-S3 board with camera, display, PIR motion sensor, and microphone

T Camera S3

LilyGO has launched a new ESP32-S3 WiFi & BLE camera board with the T-Camera S3 also featuring a small display, a PIR motion sensor, and a microphone, as well as an optional plastic shell. The T-Camera S3 is an evolution of the TTGO T-Camera ESP32 board introduced in 2019 with many of the same features, but the ESP32 microcontroller has been replaced with an ESP32-S3 microcontroller with vector extensions that makes it suitable for machine learning and computer vision applications. The new board also comes with a larger 16 MB SPI flash, more I/Os, and a few other small changes. T-Camera S3 specifications: ESP32-S3-WROOM-1 wireless module SoC –  ESP32-S3FN16R8 dual-core Tensilica LX7 microcontroller @ 240 MHz (Note: this SKU is not listed in the official ESP32-S3 datasheet) with 2.4 GHz 802.11n WiFI 4 and Bluetooth 5.0 LE connectivity Memory – 8MB PSRAM Storage – 16MB SPI flash Camera – 2MP […]

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

Arducam OCam

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 […]

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

Pine64 Ox64 SBC

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 […]

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

Allwinner V3LP

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 – […]

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

AI Camera Devkit

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) – […]

UP 7000 x86 SBC