camera News - Page 24 of 60 - CNX Software

May 18, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

OpenMV PureThermal STM32H7 board overlays thermal map on RGB image

We’ve been writing about OpenMV open-source camera boards programmable with MicroPython at least since 2015, with the latest model OpenMV Cam H7 based on STM32H7 Cortex-M7 microcontroller introduced in 2018. But the company has now gone a step further with OpenMV PureThermal board equipped with a more powerful STM32H7 dual-core Arm Cortex-M7/M4microcontroller, and supporting FLIR Lepton 2 to 3.5 thermal imagers, allowing the system to overlay the thermal map on top of the image like an augmented reality app would do. It can do so on the integrated LCD display or on an HDMI display. OpenMV PureThermal features & specifications: MCU – STMicro STM32H7 Arm Cortex-M7 @ 480 MHz) and Cortex-M4 @ 240 MHz microcontroller Memory – 64MB SDRAM Storage – 32 MB of QSPI flash for the firmware, a microSD card slot for saving pictures and machine vision assets Display 800×480 touch Screen LCD DVI out for driving an […]

May 14, 2021May 14, 2021 by Saumitra Jagdale - No Comments

NEON-2000-JNX series AI Camera Features NVIDIA Jetson Xavier NX SOM for AIoT Applications

Machine vision applications highlight the complexity of implementation due to the requirement of interfacing several devices. These devices include image sensor modules, cables, GPU modules, and memory units, thus increasing the time for development and deployment. ADLINK’s NEON-2000-JNX series AI camera aims to simplify the deployment of edge machine vision and AIoT use cases. NEON-2000-JNX series AI camera comes with an inbuilt ADLINK’s new edge vision analytics software known as the EVA SDK. The software reduces the time in designing and creating proofs-of-concept, which leads to quicker deployment of applications. Users get a wide range of options for selecting field-ready “application plug-ins and ADLINK-optimized AI models”. This ensures the quality of vision AI and eases the building of use cases with lesser software code and programs. Additionally, the preview function allows quicker verification of AI Inference flow. We saw the launch of NVIDIA’s Jetson Xavier NX SOM in April 2020 […]

May 5, 2021May 5, 2021 by Jean-Luc Aufranc (CNXSoft) - 10 Comments

SigmaStar SSC33x Camera SoCs are pin-to-pin compatible with Hisilicon Hi3516/Hi3518 processors

We’ve been writing a fair amount of posts about SigmaStar SSD201/SSD202D processors for smart displays in recent times. But the company also has various camera SoC’s with SSC333, SSC335, SSC336, SSC337, SS338, and SSC339 parts. Those processors feature one or two Cortex-A7 core, embedded RAM, as well as an optional AI accelerator called DLA (Deep Learning Accelerator). The chips manufactured using a 28nm or 22nm process, with the latter being used for parts with the AI accelerator. Most of the Sigmastar SCC33x processors also happen to be pin-to-pin compatible with HiSilicon Hi3516 or Hi3518 SoC that are found in a wide range of IP cameras. Let’s take SSC336D/SSC336Q processor as an example since it comes with the AI accelerator and we have a datasheet courtesy of linux-chenxing.com. SigmaStar SSC336D/SSC336Q camera SoC key features & specifications: CPU – Dual-core Arm Cortex-A7 processor @ 1 GHz with Neon and FPU Embedded Memory […]

May 5, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

Imago “VisionAI” Smart AI Camera supports Tensorflow Lite & AutoML Vision Edge

Imago Technologies GmbH “VisionAI” is a programmable Smart AI camera that combines a quad-core Cortex-A53 processor @ 1.8 GHz together with Google Edge TPU, and designed for embedded image processing applications in the fields of AI, Deep Learning, and Machine Learning. The smart camera supports TensorFlow Lite and AutoML Vision Edge frameworks, and is suited for tasks such as pattern recognition, classification, anomaly or defect detection in inspection applications, code reading, and other machine vision applications. Imago VisionAI (VisionSensor PV3 AI) camera specifications: SoC – Unnamed quad-core Arm Cortex-A53 processor @ 1.8 GHz (likely NXP i.MX 8M Mini) AI Accelerator – Google Edge TPU with up to 4 TOPS of AI processing power System Memory – 2 GB DDR4 RAM Storage – MicroSD card up to 32GB Connectivity – Gigabit Ethernet M12 connector Camera 1/1.8” 5MP mono or color CMOS sensor with 2560 × 1936 pixels resolution, up to 65 […]

April 29, 2021April 30, 2021 by Jean-Luc Aufranc (CNXSoft) - 25 Comments

Allwinner Processor 2021-2022 Roadmap – Allwinner T827, T723 and T1033 SoC’s

Last year, we published the Allwinner A-series processor roadmap for 2020-2021 with notably Allwinner A33E, A100, and A200 SoCs. Allwinner A100 was supposed to be released in 2019, but a search on Aliexpress showed exactly zero matches. We did write about Allwinner A100 mainline Linux support a little while ago, and today, I eventually found one Allwinner A100 tablet with the $60 Hyundai HyTab 7WC1. I had no better luck in my search for Allwinner A33E and A200 platforms. But I also got lucky today with another Allwinner roadmap for 2021-2022 with some very interesting new processors, provided they happen. A look at 2020 processors But let’s look at the year 2020 first. We already have most details about Allwinner A133 quad-core Cortex-A53 processor, which is also called T509 apparently following the merging of the Allwinner A-Series business unit, focusing on tablets, into the Allwinner T-Series for industrial & automotive […]

April 26, 2021May 6, 2022 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

M5Stack UnitV2 Linux AI camera features Sigmastar SSD202D SoC

We’ve written about SigmaStar SSD201/SSD202 processors several times now. The low-cost dual-core Cortex-A7 processor comes with 64MB or 128MB built-in RAM, and so far has been found in modules, smart displays, an SBC, and a gateway only available from China via stores like Taobao. But with mainline Linux support progressing nicely, it was only a matter of time until others make a product based on the processor, and M5Stack Unitv2 is an “AI” camera combining SSD202D processor with 128MB DDR3, and a GC2145 2MP camera sensor. M5Stack UnitV2 specifications: SoC – SigmaStar SSD202D dual-core Cortex-A7 processor @ 1.2 GHz with 128MB on-chip DDR3 Storage – 512MB on-chip NAND flash with around 100MB free space, MicroSD card socket Camera GC2145 1080p color sensor with USB UVC support 68° FoV, 60 cm to ∞ depth of field (DoF) Audio – Built-in microphone Connectivity – 2.4GHz WIFi 4 up to 150 Mbps USB […]

April 13, 2021April 13, 2021 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Arducam Pico4ML Board – TinyML on Raspberry Pi RP2040 with QVGA Camera & Display

A few months ago, ArduCAM demonstrated person detection on Raspberry Pi Pico with Arducam camera using TensorFlow Lite, and later we noted more work was being performed to bring machine learning to RP2040 platforms, notably with the development of Arducam Pico4ML board with a built-in camera and display. At the time, i..e last month, all we had were some renders of the board, but now Arducam Pico4ML pre-orders have launched for $49.99 on UCTRONICS and Tindie stores. Shipping is scheduled to start at the end of the month, so let’s have a closer look. Arducam Pico4ML TinyML devkit specifications: Microcontroller – Raspberry Pi RP2040 dual-core Cortex-M0+ MCU with 264 KB of embedded SRAM Storage – 2MB SPI flash Display – 0.96-inch LCD SPI Display (ST7735) with 160 x 80 resolution Camera – HiMax HM01B0 QVGA camera (320×240 @ 60fps) Audio – Built-in microphone Sensor – IDK ICM-20948 9-axis IMU (gyroscope, […]

April 9, 2021 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Eyecam open-source webcam will make you feel spied on

Most people will use webcams connected to a computer or integrated into a laptop without thinking about the possibility of being spied on, but Eyecam will certainly raise awareness and make you feel like somebody is truly watching. The open-source webcam is shaped like a human eye and acts like one thanks to a Raspberry Pi camera and an Arduino board controlling six servos for eyeball, eyelids, and eyebrows movements. The project was conducted at Saarland University in Germany, and Eyecam looks amazingly realistic – and creepy – with the eyeball and eyelids moving, especially when face tracking is enabled, and expressions are possible with servos controlling the eyebrows. The webcam is comprised of 3D printed parts, a Raspberry Pi camera connect to Raspberry Pi Zero recognized as a USB webcam from the host, and an Arduino Leonardo Pro Micro to control the 6 servo motors. On the software side, […]