The Notch is Gone! ZTE Axon 20 5G Smartphone Features an Under-Display Camera

ZTE Axon 20 5G Under-Display-Camera Smartphone

A little over a few ago, we reported companies like Xiaomi and Oppo were working on under-display cameras to remove the notch on smartphones. This works by having the phone display a black bar (that means transparent) above the camera while taking a photo, and reverting to normal display once the photo is taken or video is shot. At the time, picture quality left to be desired, so more work was needed, but the first phone with an under-display camera is now available for ZTE Axon 20 5G selling for 2,198 RMB (~$322) and up in China. ZTE Axon 20 5G specifications: SoC – Qualcomm Snapdragon 765G octa-core processor with 1x Kryo 475 Prime (Cortex-A76 class) @ 2.4GHz, 1x Kryo 475 Gold (Cortex-A76 class) @ 2.2GHz, 6x Kryo 475 Silver (Cortex-A55 class) @ 1.8GHz System Memory – 6 or 8GB RAM Storage – 128GB or 256GB flash MicroSD card slot […]

RISC-V & ESP32 based TTGO Handheld T-WATCH K210 AIoT DevKit Works with a 9V Battery

TTGO Handheld T-WATCH-K210 RISC-V & ESP32 Devkit

LilyGO TTGO T-Watch K210 AIOT is a rather thick watch development kit based on Kendryte K210 RISC-V AI Processor and ESP32 WiSoC capable of performing AI workloads such as face detection using a USB power source. We first covered the development kit in June, and the company releases some small variants from time to time with the latest being TTGO Handheld T-Watch K210 with basically the same hardware, plus the addition of a handle that adds a power button, and a compartment for a 9V battery to power the watch/devkit. TTGO Handheld T-Watch K210 specifications: SoC – Kendryte K210 dual-core 64-bit RISC-V processor with 8MB RAM, AI accelerators Storage – 16MB flash, MicroSD card slot Display – 1.54-inch capacitive touch IPS screen connected over an 8080 interface Camera – Adjustable 2MP OV2640 sensor with 65-degree lens (optional 120-degree angle lens),  AS312 “human” infrared sensor Connectivity – 2.4 GHz 802.11b/g/n WiFi […]

WCH CH569 RISC-V SoC Offers USB 3.0, Gigabit Ethernet, High-Speed SERDES & HSPI Interfaces

CH569 RISC-V SoC

RISC-V open architecture has made its way into low-cost low power general purpose MCUs such as Gigadevices GD32V or WCH CH32V103, Western Digital hard drives, some AI processors notably Kendryte K210, and even Linux capable boards including Microsemi’s PolarFire SoC Icicle kit. But more applications featuring RISC-V architecture are coming with, for instance, WCH CH569 RISC-V processor featuring USB 3.0, Gigabit Ethernet, DVP camera, and 1.25 SERDES block all managed by a RISC-V core clocked at 120 MHz. CH569 (and CH565) processor key features and specifications: CPU – RISC-V (RISC-V3A) core @ 120MHz with hardware multiplication and division, programmable interrupt controller, low-power two-stage pipeline Memory – 16KB 32-bit SRAM, 32/64/96KB configurable 128-bit SRAM Storage Internal – 448KB code flash, 32KB data flash External – SD/eMMC controller with single-wire, 4-wire, 8-wire data communication mode. Complies with eMMC card 4.4 and 4.5.1 specifications, and compatible with 5.0 specifications Networking – Gigabit Ethernet […]

NVIDIA Jetson Nano Powered Edge AI System Supports one PoE Camera, Operates in -30 to +60°C Temperature Range

NVIDIA Jetson Nano PoE Camera edge AI system

Axiomtek AIE100-903-FL is a fanless edge AI System powered by NVIDIA Jetson Nano system-on-module and designed to connect a single 15W PoE camera for AI computing, edge computing, smart retail, smart city, and more. The solution can operate in a wide range of temperatures from -30°C to +60°C and comes with an optional IP42-rated waterproof cover kit that makes it suitable for use in moist places and “semi-outdoor environments”  including freezers and under eaves (edges of the roof which overhang the face of a wall) and other outdoor locations with some protection against rain. Axiomtek AIE100-903-FL specifications: SoM – NVIDIA Jetson Nano with quad-core Arm Cortex-A57 processors, 128 CUDA core NVIDIA Maxwell GPU, 4GB 64-bit LPDDR4 and 16GB eMMC flash Storage – 1x M.2 Key M 2280 with PCIe x4 NVMe SSD slot, 1x Micro SD slot Video Output – 1x HDMI 2.0 up to 4K2K @ 60 Hz Connectivity […]

UP Xtreme Smart Surveillance Combines Whiskey Lake SBC, Myriad X VPUs, and Video Management & Analytics Software

UP Xtreme Smart Surveillance

We’re seeing more and more computer vision products with built-in artificial intelligence accelerated features like face recognition or object detection including AI cameras, facial recognition systems, and AI NVR systems. It’s great as a consumer because of less frequent and more accurate alerts in security camera systems but more worrying as a citizen due to mass surveillance. But the trend is here to stay, and AAEON has just announced the UP Xtreme Smart Surveillance solutions powered by UP Extreme Whiskey Lake SBC with either an Intel Core i5-8365UE or Intel Core i7-8665UE processor, as well as two Intel Movidius Myriad X VPUs using OpenVINO SDK. The system also leverages Milestone video management software (VMS) and SAIMOS video analytics software. Based on the photo above, the hardware looks to be UPX-Edge Embedded Computer which we previously covered in details at launch last December. Instead of hardware, the focus of Up Xtreme […]

4K Vision Edge Computing Platform Features Xilinx Zynq UltraScale+ ZU3EG MPSoC

VECP Vision Edge Computing Platform

Last year, MyIR Tech introduced MYD-CZU3EG development board powered by a Xilinx Zynq UltraScale+ ZU3EG MPSoC with Arm Cortex-A53 cores and FPGA fabric designed for applications such as cloud computing, machine vision, flight navigation, and other complex embedded applications. The company has now announced another Zynq Ultrascale+ ZU3EG based platform dedicated to machine vision. The VECP Starter Kit (Vision Edge Computing Platform) is comprised of MYD-CZU3EG-ISP development board fitted with the company’s MYC-CZU3EG Zynq UltraScale+ MPSoC CPU module, a fansink, and a SONY IMX334 4K camera sensor. MYD-CZU3EG-ISP development board specification: MYC-CZU3EG SoM MPSoC – Xilinx Zynq UltraScale+ XCZU3EG-1SFVC784E (ZU3EG, 784 Pin Package) MPSoC with quad-core Arm Cortex-A53 processor @ 1.2 GHz, dual-core Cortex-R5 processor @ 600 MHz, Arm Mali-400MP2 GPU, and 16nm FinFET+ FPGA fabric (154K logic cells, 7.6 Mb memory, 728 DSP slices) System Memory – 4GB DDR4 @ 2,400MHz Storage – 4GB eMMC Flash, 128MB QSPI Flash […]

Raspberry Pi HQ Camera Features a 12MP Sensor, Supports Interchangeable Lenses

Raspberry Pi HQ Camera with 6mm Lens

The Raspberry Pi Foundation introduced the first official Raspberry Pi camera in May 2013. The $25 camera module came with a 5MP sensor and connected via the board’s MIPI CSI connector. Then in 2016, the company launched version 2 of the camera with an 8MP sensor. The foundation has now launched a much better camera called Raspberry Pi HQ Camera (High-Quality Camera) with a 12MP sensor, improved sensitivity, and support for interchangeable lenses both in C- and CS-mount form factors. The module itself is equipped with a Sony IMX477 sensor, a milled aluminum lens mount with integrated tripod mount and focus adjustment ring, a C- to CS-mount adapter, and an FPC cable for connection to a Raspberry Pi SBC. RPi HQ camera specification: Sensor – 12.3MP Sony IMX477R stacked, back-illuminated sensor; 7.9 mm sensor diagonal, 1.55 μm × 1.55 μm pixel size Output – RAW12/10/8, COMP8 Back focus – Adjustable […]

Allwinner V831 AI Full HD Camera SoC Powers Sochip V831 Development Board

Sochip V831 Development Board

In the last year or so, we’ve started to see several camera SoCs with a built-in NPU or SIMD instructions to accelerate face detection, objects detection and so on, starting with the low-resolution Kendryte K210 processor to the 2.5K Ingenic T31 MIPS video processor, or even the 4K capable iCatch V37 camera SoC. Allwinner introduces several camera processors (V3, V316, S3…) in the past, but none of them included an NPU aka AI accelerator. This has now changed with Allwinner V831 Cortex-A7 Full HD camera SoC also including a small 200 GOPS NPU. Sochip / Allwinner V831 AI Camera SoC Specifications: CPU – Single-core Arm Cortex-A7 processor @ up to 800 MHz with NEON, 32KB L1 instruction cache and 32KB L1 Data cache, 128KB L2 cache AI Accelerator – 0.2 TOPS (200 GOPS) NPU for face recognition, face detection, and “humanoid detection network” System Memory – 64MB on-chip DDR2 RAM […]

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