Lindenis-V5 Dual ISP 4K Encoding Development Board

Issuing time:2022-04-13 10:42

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1.Introduction:     


Lindenis V5 is a cos-teffective artificial intelligence video processing development board. Based on the design of Allwinner V5 V100, it has rich interfaces and runs on the Linux operating system. Builtin artificial intelligence acceleration engine and Allwinner ISP 5.0. Support AI video analysis, 4K intelligent encoding and 360 panoramic hard stitching,


2.Key Features

    (1)4K Smart Encoding

  • H.264 BP/MP/HP, H.265 MP,   MJPEG/JPEG baseline encoding

  • I/P Frame, Smart P frame reference

  • Real-time multi stream H.264/H2.65 encoding, 3840x2160@30fps+VGA@30fps+3840x2160@1fps snapshot

  • Supports CBR and VBR mode, 2kbps~100Mbps

  • H265/H264/MJEPG decoding,   up to 4K@30fps

    (2)Intelligent Video Analysis

  • Face detection and recognition

  • Intelligent motion detection

  • Human counting

  • Vehicle license plate recognition

  • Binocular DOF image

    (3)360 Panoramic Stitching with Hardware Acceleration

  • Lens distortion correction and fisheye correction

  • Binocular stitching (360° panorama,180° wide angle

    (4)Professional Image Effects

  • Dual individual ISP, ISP1 supports 4244x3168, ISP2 supports 3264x2448

  • Adjustable 3A functions (AE, AWB, and AF)

  • Highlight compensation, backlight compensation, gamma correction, and color enhancement

  • Supports defect pixel correction, 2D/3D denoising

  • Supports sensor built-in WDR, 2F-Frame/Line base WDR, Local Tone mapping

    (5)Various interfaces

  • Supports 2 x MIPI-CSI2, 4 x AHD, 1 x DVP input

  • Supports BT1120 input/output

  • Supports Line-in/Line-out

  • Supports Dual-channel differential MIC inputs

  • Supports WiFi 802.11ac / BT4.2 (option)


3.Software System

   

(1)Linbian OS

  • The recommended OS for normal use on Lindenis V5.

  • A free operating system based on Debian, optimised for the Lindenis   V5 hardware. You can use it to   build some creativity app, or use it   for engineering validation test. Feel free to coding and compiling on it directly, no need to cross build anymore.

  • Scalable. The image is easy cut to 16MB and store on SPINOR

(2)Applications

  • Media player:A GStreamer based video player.

  • Camera:A GStreamer based camera app.

  • Streaming Server:A GStreamer based RTSP server.

  • Face recognition:A face detection and recognition app.

  • Motion detection:A intelligent motion detection app.

  • Human counting:A human counting app

  • VLPR:A vehicle license plate recognition app

(3)Framework

  • GStreamer: An open source media framework with hardware acceleration.

  • Tensorflow: An open source machine learning framework

(4)Libaries

  • OpenMAX: Video decoder / encoder plugin for GStreamer

  • ldcamsrc: Lindenis camera source plugin for GStreamer

  • EVE: is a embedded vision engine

  • CVE: is a compute vision engine

  • OpenCV / Compute Library: is open source compute vision and machine learning libraries

4.Purchase Link

Chinese usershttps://shop581648038.taobao.com

Other usershttps://pt.aliexpress.com/store/4504082


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