Difference between revisions of "Lindenis V5"

Revision as of 01:50, 16 September 2022

Key Features

AI video analysis with hardware acceleration
- Face detection and regconition
- Intelligent motion detection
- Human counting
- Vehicle license plate recognition
- Binocular depth of field (DOF) image
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
360 Panoramic Stitching with Hardware Acceleration
- Lens distortion correction and fisheye correction
- Binocular stitching (360° panorama，180° wide angle)
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
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)
Software Support
- Linux kernel 4.4
- Linbian (Based on Debian 9)
- OpenCV
- Compute Library
- Tensorflow
- GStreamer with hardware acceleration

Target Applications

You can use it for the following product engineering validation test:

SDV
Smart IPC
Car DVR
Smart Camera
3D/VR Camera
Panoramic Camera
VLPR device
Face recognition device

Or you can use it to build:

A computer
A streaming server

Pretty much anything else.

Accessories Step-by-Step Guides

LCD

Flash module

WiFi and Bluetooth module

Hardware Specification

SoC and Memory

CPU Architecture

Quad-core ARM Cortex-A7 Processor@1512Mhz
A power-efficient ARM v7 architecture
Support NEON Advanced SIMD (Single Instruction Multiple Data) instruction for acceleration of media and signal processing function
VFPv4 Floating Point Unit
Supports dynamic frequency scaling
32KB L1 Instruction cache and 32KB L1 Data cache
512KB L2 cache

VPU Architecture

Video Encoding H.265/H.264 4K@30fps
Video Decoding H.265/H.264 4K@30fps

IPU Architecture

Dual ISP 13M@30fps + 8M@30fps
Fisheye
Stitching

AIE Architecture

Built-in with intelligent analytics acceleration engine.
Supports motion detection, perimeter defense, video diagnosis, face detection, flow statistics.
Supports binocular depth map.

System Memory

RAM Memory: 1GB
Storage Memory: Lindenis V5 do not have built-in flash

Board Features

Video Out

HDMI 1.4 Type A, up to 4K@30FPS
MIPI-DSI, 4 lanes, up to 1080P

Video In

2 x MIPI-CSI2 - Camera interface, 4 lanes per channel

Audio

3.5mm Line in / out
2 x mic

Network

10/100/1000Mbps Ethernet
WiFi with Bluetooth (optional)

Storage

MicroSD Card bootable, support SDHC and SDXC, storage up to 256GB
USB2.0 Host port x 4

Expansion Ports

Board to Board connector - Flash module interface
Wi-Fi/BT Module Header - SDIO 3.0 and UART, pitch 2.0mm
2x20 pins "PI BUS" GPIO Header, pitch 2.54mm, compatible with Raspberry Pi B+ J8 GPIO Header
2x3 pins GPIO Header, pitch 2.54mm
2x7 pins "I2S" GPIO Header, pitch 2.54mm
VBAT - Battery connector, pitch 2.0mm
2x28 pins "CSI0" and "CSI1" GPIO Header, pitch 1.27mm

Board Information

Board Dimensions: 130mm x 85mm
Input Power: 5V@2A micro USB connector, 3.7V Li-Ion battery connector
Power consumption
Lindenis V5 connector layout
Lindenis V5 pinout
Lindenis V5 PCB Dimensions
Lindenis V5 PCB place map

Board Schematic

Lindenis V5 Schematic V1.1

Board Certifications

Datasheet

Allwinner V5 V100 SoC Information

If you cannot access the file, please send an e-mail to services@lindeni.com.

X-Powers AXP233 Information

If you cannot access the file, please send an e-mail to services@lindeni.com.

SDK

Overview

Features

Supports Debian 9
Linux kernel 4.4 (official version)
U-Boot 2014.07
ARM GCC based cross toolchain
Integrated build system

Main Components

File system

Ext4 file system is used as default root file system. This includes all the files, libraries, drivers, nodes and others entries, that will be mounted in the target board when Linux finishes to boot up.

For Linbian OS, the rootfs created from a Debian base system (only support armel architectures currently, armhf architectures will be supported in the near future). It's easy to install packages via apt-get.

Kernel

This includes all drivers.

Bootloader

The bootloader loads kernel.

Toolchain

Used to build kernel, libraries and applications for the target hardware.

Layout

├── build                         # Build scripts
├── build.sh                      # Top level build script
├── debian                        # Debian based rootfs build scripts
│   ├── overlay                  # Overlay of system
│   └── stretch-alip.tar.gz      # A Debian basic root file system
├── device                        # Platforms relative files
│   ├── cuckoo
│   ├── eagle                    # Allwinner V5 platform
│   │   ├── boards              # Board's relative files
│   │   │   ├── allwinner-dvb  # Allwinner dvb
│   │   │   └── lindeni-v5     # Lindenis V5 SBC
│   │   │       ├── configs    # Lindenis V5 SBC board configurations, sys_config.fex etc.
│   │   │       └── rootfs     # Lindenis V5 SBC board rootfs overlay
│   │   ├── bootloader          # Allwinner V5 Bootloader relative files
│   │   ├── configs             # Allwinner V5 platform configurations, env.cfg, sys_partition.fex, etc.
│   │   └── rootfs              # Allwinner V5 platform rootfs overlay
│   └── petrel
├── kernel                       # Kernel source code
├── out                          # Building output
├── tools                        # Tools for building and packing
│   ├── build
│   │   └── toolchain           # Cross toolchain
└── u-boot                       # U-Boot source code

Rootfs overlay

The build scripts copy overlay as follows:

debian/overlay

device/PLATFORM/rootfs

device/PLATFORM/boards/BOARD/rootfs

Documents

If you want to get the Allwinner official documents, please send an e-mail to services@lindeni.com .

For the sample mentioned in the documentation, please visit mpp_sample.

Download and Build

System requirements

Listed below are the recommended requirements for downloading and building the SDK:

CPU: x86_64 or better family processor
Memory: 8GB or higher
Disk: 10GB free hard disk space
OS: Ubuntu 14.04 (tested) or higher
Network: internet connection

Linux host setup

Ubuntu 14.04

HINT: later version should also work.

Install prerequisites

$ sudo dpkg --add-architecture i386
$ sudo apt-get update
$ sudo apt-get install git git-core u-boot-tools qemu qemu-user-static debootstrap lib32z1 lib32ncurses5 libc6:i386 libstdc++6:i386 gawk

dpkg --add-architecture i386: support 32bit architecture
apt-get update: retrieve new lists of packages
git git-core: manage source code
u-boot-tools: build kernel image
qemu qemu-user-static: emulator for arm on host CPU
debootstrap: for installing a Debian base system
lib32z1 lib32ncurses5 libc6:i386 libstdc++6:i386: for running 32bit tools
gawk: GNU Awk

Sudo without password

$ sudo visudo

Add this line at the end (change “james” to your username):

james ALL=(ALL) NOPASSWD: ALL

Ctrl-X to leave, save your changes, and you're done!

Downloading

\--------> 国内开发者全套资料云盘下载，提取码：ldv5 <--------\

SDK

The SDK is available on github.

We use Repo manage Git repositories. Clone Repo from android Git repositories or other mirrors and install it.
Chinese developers can install Repo follow these steps:

$ git clone http://mirrors.ustc.edu.cn/aosp/git-repo.git ~/.bin/repo
$ echo "export PATH=~/.bin/repo:$PATH" >> ~/.bashrc
$ source ~/.bashrc

For Lindenis V5, download the SDK via:

$ repo init -u https://github.com/lindenis-org/manifest.git -b v5
$ repo sync

The Download time depends on your network connection speed. After finish the download, you should get below directories:

build  build.sh  debian  device  kernel  tools  u-boot

Start a branch for local workspace:

$ repo start v5 --all

Before building the source, you have to download a basic rootfs and toolchains.

Basic rootfs

Download the basic rootfs from FTP server with user 'ftp' (password: lindeni) and store to debian directory.

stretch-alip.tar.gz

Toolchain

Download the toolchain from FTP server with user 'ftp' (password: lindeni) and store to tools/build/toolchain directory (create directory if not exist).

Base Rootfs and Toolchain for Chinese Developer

如国内开发者无法正常访问FTP服务器，可以通过百度云盘下载：地址| 提取码：ldv5

Building

Setup env

For Lindenis V5 SBC:

$ source build/envsetup.sh
All available platforms:
   0. eagle(Allwinner-V5,sun8iw12p1,arm)
   1. petrel(Allwinner-H3,sun8iw7p1,arm)
   2. cuckoo(Allwinner-V3,sun8iw8p1,arm)
Choice: 0
All available OS:
   0. buildroot
   1. debian
Choice: 1
   0. allwinner-dvb
   1. lindeni-v5
Choice: 1

Build source

Build kernel and rootfs

$ ./build.sh

Now you can build the OS image. You can also build component separately for debugging as follow.

Build kernel only

$ ./build/mk-kernel.sh

Build rootfs only (debian)

$ ./build/mk-debian.sh

Build U-Boot

$ ./build/mk-u-boot.sh

Build image

For MicroSD Card image:

$ ./build.sh flat-fw

For eMMC image:

$ ./build.sh pack

Installation

Linbain OS

Overview

Linbian is the recommended operating system for normal use on Lindenis V5.

Linbian is 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.

Linbian is maintained by Lindenis Tech. Ltd.. The SDK is hosted on GitHub.

Applications

Linbain System Architecture

LXDE: Default desktop environment.
Media player: is a GStreamer based video play, which can be run standalone on the desktop.
Camera: is a GStreamer based camera app, which can be run standalone on the desktop.
Streaming Server: is a GStreamer based RTSP server.
GStreamer Tools: gst-inspect-1.0, gst-launch-1.0
Speech recognition: is a speech recognition demo.
Face recognition: is a face recognition demo. Capture video with ldcamsrc, detect face with EVE.
Motion detection: is a intelligent motion detection demo.
Human counting: is a human counting demo.
VLPR: is a vehicle license plate recognition demo.
Image stitch: is realtime image stitch demo.
Binocular DOF Image

Framewrok

X11: is an open source implementation of the X Window System.
GStreamer: is an open source media framework. Running on Lindenis V5 with hardware acceleration.
Tensorflow: is an open source machine learning framework.
Python: is a general purpose programming language that is easy to use.

Libraries

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: a software library for computer vision and machine learning.
wiringPi: is a PIN based GPIO access library written in C for Lindenis V5.

Linux Kernel

Official version: 4.4

Setup

What you Need

You will need the following to get started with using your Lindenis V5 board:

Windows / Linux PC or MAC with a SD Card Reader connected to the Internet.
Power Supply (PSU) and a micro usb cable. Please make sure to use a PSU rated at +5V@2A.
MicroSD card (4GB or higher capacity) rated 'class 10' or better.
Camera module (recommended).
HDMI cable (optional).
Network Cable connected to the Internet (optional).
Input device(s) such as: keyboard, mouse, etc.

Installation

Download the image

Download the image from FTP server with user 'ftp' (password: lindeni).
For China mainland users, you can also download the images from Baidu Netdisk. The key code is "vcss".

Note that there are two type images here. Make sure you download the right one.

For-SDCard: the image can be written to the SD card
For-eMMC: the image can be written to the eMMC (you should purchase a eMMC module firstly)

Writing an image to the SD card

Writing the image to MicroSD Card by Etcher is recommended.

Using a computer with an MicroSD Card reader.
Visit etcher.io and download and install the Etcher SD card image utility.
Run Etcher and select the image you downloaded.
Select the SD card drive. Note that the software may have already selected the right drive.
Finally, click Flash to transfer the image to the MicroSD Card. You'll see a progress bar that tells you how much is left to do. Once complete, the utility will automatically eject/unmount the SD card so it's safe to remove it from the computer.

Now that you have an operating system. You can slot your SD card into your SBC and connect the power. Then you will boot directly to the desktop environment.

Writing an image to the eMMC

Troubleshooting

Usage Guide

Terminal

On Linbian OS, the default terminal application is LXTerminal.

You can open it from Application Menu -> System Tools.

Camera Module

download source code from github

ldcam developed base on gstreamer

git clone https://github.com/lindenis-org/ldcam-gst.git

compile

compile on v5 board===

you can execute "make" directly

compile on your own env

you should create the Makefile by yourself

user commd

you can use "./ldcam -?" or "./ldcam --help" to get the cmd instructions

Webcams

Gstreamer

Camera source

lindeniv4l2src: Video (video4linux2) Source

Use for CSI Camera
Example:
sudo gst-launch-1.0 lindeniv4l2src device=/dev/video1 ! video/x-raw,width=1920,height=1080,format=I420 ! videoconvert ! sunxifbsink video-memory=24

Omx hardware H.264 decoder and encoder

omxh264dec: OpenMAX H.264 Video Decoder

Example:
sudo gst-launch-1.0 filesrc location=1c.mp4 ! qtdemux name=demux demux.video_0 ! queue ! h264parse ! omxh264dec ! videoconvert ! sunxifbsink

omxh264videoenc: OpenMAX H.264 Video Encoder

Example:
sudo gst-launch-1.0 lindeniv4l2src device=/dev/video1 ! video/x-raw,width=1920,height=1080,format=I420 ! videoconvert ! omxh264videoenc target-bitrate=5000000 ! mpegtsmux ! filesink location=1.ts

Display sink

sunxifbsink: Accelerated console framebuffer video sink for sunxi-based devices

Example:
sudo gst-launch-1.0 -v videotestsrc pattern=ball name=left ! sunxifbsink

Play Video

Play Audio

Python

GPIO

MPP

MPP is the media process platform of Allwinner V5, including following components.

system control, API family: AW_MPI_SYS

This component deal with the media hardware initialization, other components initialization and component state management and etc.

video input, API family: AW_MPI_VI
video output, API family: AW_MPI_VO
image stitch engine, API family: AW_MPI_ISE
video encode, API family: AW_MPI_VENC
video decode, API family: AW_MPI_VDEC
mux, API family: AW_MPI_MUX
demux, API family: AW_MPI_DEMUX
audio input, API family: AW_MPI_AI
audio output, API family: AW_MPI_AO
audio endode, API family: AW_MPI_AENC
audio output, API family: AW_MPI_AOUT
Region, API family: AW_MPI_RGN

Allwinner official documents

Please send an e-mail to services@lindeni.com for application.

Samples

Please refer to Demo programs.

Demo programs

Allwinner release a series of MPP samples. You can download from Github.

$ git clone https://github.com/lindenis-org/mpp_sample ~/mpp_sample

国内开发者建议从Gitee上下载：

$ git clone https://gitee.com/lindenis/mpp_sample.git ~/mpp_sample

After downloading, You will get the following directory.

app/
Makefile.param
README.md
sample_adec/
sample_aenc/
sample_ai/
......

There is a instruction name readme.txt in every sample, you should read the document first when you running the sample

And then you can know how to config the sample, some sample needed be configured,maybe config file is sample_xxx.conf.

app/ includes a set of MPP samples with a command line based menu. sample_xxx/ is a separate sample of the scene. Root privileges is required when run these sample. e.g.

$ sudo ./app/release/app_mpp_sample

***************************************************************
  1 : vi+(venc+rtsp)+vo
  2 : vi+(venc+rtsp)
  3 : vi+vo
  4 : vi+ise+(venc+rtsp)+vo
  5 : [vi+venc+vo]+[ai+aenc+ao]+rtsp
  6 : vi->yuv+venc+rtsp
  7 : vi+venc+mux
  8 : vi+(venc+mux)+vo
  9 : demux+vdec+vo
 10 : ai+aenc+mux+ao
 11 : demux+adec+ao
 12 : Quit
***************************************************************
 Please choice 1~12 num:

RTSP

Location

app_mpp_sample

Build

$ cd ~/mpp_sample/app
$ make

Running

$ sudo ./release/app_mpp_sample

There will shows the following message when you execultive the cmd, and type the num according the menu.

***************************************************************
  1 : vi+(venc+rtsp)+vo
  2 : vi+(venc+rtsp)
  3 : vi+vo
  4 : vi+ise+(venc+rtsp)+vo
  5 : [vi+venc+vo]+[ai+aenc+ao]+rtsp
  6 : vi->yuv+venc+rtsp
  7 : vi+venc+mux
  8 : vi+(venc+mux)+vo
  9 : demux+vdec+vo
 10 : ai+aenc+mux+ao
 11 : demux+adec+ao
 12 : Quit
***************************************************************
 Please choice 1~12 num: 1

***************************************************************
  1 : Set VI+VENC scene     (Resolution,    default:4K@25fps+720P@25fps)
  2 : Set VENC Payload Type (H264/H265,     default:H264)
  3 : Set VENC RC Mode      (CBR/VBR/FIXQP, default:CBR)
  4 : Set VENC Profile      (BL/MP/HP,      default:Main Profile)
  5 : Set VENC rotate       (0/90/180/270,  default:rotate_0)
  6 : Save confige and run this sample
***************************************************************
 Please choice 1~6 num: 1

 ***************** Choice VI+VENC scene **************************
 [0]:VI_4K@30fps + VENC(4K@30fps+VGA@30fps)
 [1]:VI_4K@25fps + VENC(4K@25fps+720P@25fps) [default]
 [2]:VI_2K@30fps + VENC(2K@30fps+720P@30fps)
 [3]:VI_1080P@30fps + VENC(1080P@30fps+720P@30fps)
 [4]:VI_2880x2160@30fps + VENC(2880x2160@30fps+1080P@30fps)
 [5]:VI_2592x1944@30fps + VENC(2592x1944@30fps+1080P@30fps)
 Please choose VI+VENC scene ID 0~3 or (q-Quit): 1

 ***************************************************************
  1 : Set VI+VENC scene     (Resolution,    default:4K@25fps+720P@25fps)
  2 : Set VENC Payload Type (H264/H265,     default:H264)
  3 : Set VENC RC Mode      (CBR/VBR/FIXQP, default:CBR)
  4 : Set VENC Profile      (BL/MP/HP,      default:Main Profile)
  5 : Set VENC rotate       (0/90/180/270,  default:rotate_0)
  6 : Save confige and run this sample
***************************************************************
 Please choice 1~6 num: 6

Test result

You can see that the two remote device can get the data at the same time

There are two output data channel, you can get 720p from channel1 and 4K data from channel0

Tt also can be viewed by mobile phone, a simple IPC mode.

Dual Camera

Location

sample_virvi2ise2vo

Build

$ cd ~/mpp_sample/sample_virvi2ise2vo
$ make

Running

$ sudo ./sample_virvi2ise2vo -path sample_virvi2ise2vo.conf

Test result

Two ISP can work at the same time

And each one can send 4K 30fps data out when you preview the picture

Device can support 4K 15fps encode when two ISP work at the same time

Face detection

Face detection based on EVE.

Location

sample_face_detect

Build

$ cd ~/mpp_sample/sample_face_detect
$ make

Running

$ sudo ./sample_face_detect

The picture of face crop and store at ./pic directory when detected.

Test result

Support face detect which the data source minmum pixels is 20

Support face detection and tracing at the same time, the maximum number is 16

The maximum detect face number is 128

Motion detection

Motion detection based on CVE.

Location

sample_AILib/sample_vi2MOD

Build

$ cd ~/mpp_sample/sample_AILib/sample_vi2MOD
$ make

Running

$ sudo ./sample_vi2MOD -path sample_vi2MOD.conf

The information of detected target was stored at ./DTCAResult.bin .

Human counting

Hunman counting based on CVE.

Location

sample_AILib/sample_vi2HCNT

Build

$ cd ~/mpp_sample/sample_AILib/sample_vi2HCNT
$ make

Running

$ sudo ./sample_vi2HCNT -path sample_vi2HCNT.conf

The information of detected target was stored at ./HCNTResult.bin .

VLPR

VLPR based on CVE.

Location

sample_AILib/sample_vi2VLPR

Build

$ cd ~/mpp_sample/sample_AILib/sample_vi2VLPR
$ make

Running

$ sudo ./sample_vi2VLPR -path sample_vi2VLPR.conf

The information of detected vehicle license plate was stored at ./VLPRResult.bin .

Binocular depth information image

BDII based on CVE.

Location

sample_AILib/sample_BDII

Build

$ cd ~/mpp_sample/sample_AILib/sample_vi2BDII
$ make

Running

$ sudo ./sample_vi2BDII -path sample_vi2BDII.conf

The output is a 8bit-gray-scale picture, stored at ./BDIIResult.bin .

OpenCV

sample_virvi2opencv2vo

OpenCV version 4.0.1
This is a simple sample for motion detection via opencv.
When running this sample, if the picture captured by the camera is still, it will be black screen. If there is a moving object, the outline of the moving object will be displayed. When the mean difference of the real-time image frame difference is greater than the sensitivity value, the following printing appears, indicating that there is a significant change in the image or something is moving.

Something is moving! mean_diff:10
Something is moving! mean_diff:70
Something is moving! mean_diff:94
Something is moving! mean_diff:120
Something is moving! mean_diff:362
Something is moving! mean_diff:34
Something is moving! mean_diff:30

Location sample_virvi2opencv2vo

Build

$ cd ~/mpp_sample/sample_virvi2opencv2vo
$ make

Running

$ sudo ./sample_virvi2opencv2vo -path ./sample_virvi2opencv2vo.conf

You can change the conf in the sample_virvi2opencv2vo.conf

auto_test_count : test times
get_frame_count : number of frame in one time test
dev number: video node
src_width * src_height:720p/1080p;
src_frame_rate: 25
pic_format is nv21
enable_disp_color: 0 disable, 1 enable
moving_detect_sensitivity >=1 , 1 is most sensitive

Test result

Configuration

linbian-config

In development

UART configuration

By default, the ttyS0 is assigned to the Linux console. The UART transmit and receive pins are on PB9 and PB10 espectively, which are pins 8 and 10 on the 'PI BUS' GPIO header. And the bit rate is 115200 bps.

Ethernet

Ethernet is enabled by default. Plug in the network cable will automatically connect to the Internet.

Wicd is used for manage wireless and wired interface.

Running Wicd in Desktop Environment

Open Wicd Network Manager from desktop. If the board is properly set up and connected, you should see a Window as follow.

Running Wicd in Text Mode

Open a Terminal from desktop. Type wicd-curses:

Manage network by keyboard.

Wi-Fi

Installing

Lindenis V5 without builtin Wi-Fi. Follow these instructions and install a module.

Add Service In Running Environment

Add configure file wifi.conf in /etc/modules-load.d, and the context of the configure file is the driver name, for example :bcmdhd

Reboot the system

Configuration

Manage Wi-Fi by Wicd (open Wicd Network Manager from desktop).

Click Properties button to set access point password.

And then click Connect button to get access.

Bluetooth

Bluetooth firmware and service are not installed by default Add configure file add configure file bt_server in "device/eagle/rootfs/etc" of sdk or "/etc" in running environment, and the context as follow:

#!/bin/bash
#
# Shell script to install Bluetooth firmware and attach BT part of
#
TTY="/dev/ttyS1"
BT_POWER_MGR_PATH=/sys/class/rfkill/rfkill0
BT_FW_PATH=/lib/firmware/rtl_bt
test -d $BT_POWER_MGR_PATH || exit 1
test -d $BT_FW_PATH || exit 1
echo "Using device $TTY for initializing Bluetooth"
#BT power initialize
echo 0 > /sys/class/rfkill/rfkill0/state
sleep 0.1
echo 1 > /sys/class/rfkill/rfkill0/state
brcm_patchram_plus --patchram /etc/firmware/BCM4345C0.hcd --no2bytes --tosleep 1000 $TTY
hciattach $TTY any
exit 0

Add Service If you want to add service in running environment, you can use the following cmd:

insserv /etc/init.d/bt

If you want to add service in sdk, you should modify "debain/mk-rootfs-stretch.sh" as follow:

diff --git a/mk-rootfs-stretch.sh b/mk-rootfs-stretch.sh
index 75dd3ce..c46d605 100755
--- a/mk-rootfs-stretch.sh
+++ b/mk-rootfs-stretch.sh
@@ -91,6 +91,10 @@ if insserv -s | grep mpp > /dev/null ; then
insserv /etc/init.d/mpp
fi
+if insserv -s | grep bt > /dev/null ; then
+insserv /etc/init.d/bt
+fi
+
apt-get install -y bash-completion

Manage Bt devices

You can use some open source tools, such as blueman.

sudo apt-get install blueman

Camera Config

Sys_config.fex config

See the 13 chapter page 37 to page 52 sys_config guide

Kernel menuconfig

Device Drivers  --->  
	<*> Multimedia support  ---> 
           [*]   V4L platform devices  ---> 
                 [*]       imx317 platform select  ---> 
                       --- imx317 platform select 
                       [*]   select IPC platform config otherwise SDV platform 
                       <M>   imx317_mipi sensor driver

the imx317 sensor driver code

kernel/drivers/media/platform/sunxi-vin/modules/sensor/imx317_mipi.c

if you want to support a new sensor, you can add the driver code in this path, and modify the Makefile and Kconfig like imx317. Of course you should config the sys_config.fex first.

Insmod the sensor module

1.cp the driver ko to debian/target/lib/modules/4.4.55+/

2.replace the imx317_mipi with the new sensor ko's name in this file

device/eagle/rootfs/etc/modules-load.d/mpp.conf

3.build the sdk

User Interfaces

1.Use the MPP interfaces. see the MPP Interface Usage page 20-53,

The demo code is here sample_virvi2vo

2.Use the /dev/videoX directly, you can see the demo in Camera Driver Guide

ISP Tuning

Allwinner V5 ISP Tuning Tool

Download and extract to a local folder (note: Windows only).
Upgrade your Linbian OS to 20181016 or later.
Please refer to the documents in docs folder for usage.

Display Config

Because of the limitation that there is one display engine module in V5, V5 board can not support dual-display.

The default display device of the SDK and the image on FTP server is HDMI(1080p).

If you have download the image from FTP server, and burn it into SD card or eMMC, you can switch the display device follow these steps:

Connect serial to control the board

Firstly, you should connect the board's UART0 to computer through a serial-USB cable so that you can send commands to the board through a PC serial software like Putty.

After you connected successfully, you will see the log show on the PC serial software like this:

Enter U-boot command mode

Power on and press any key within 1s when you see the message below, then you can enter u-boot command mode.

Under this mode, you can modify the kernel devices tree by FDT tools in u-boot.

Change display device configuration with FDT tool

Input the follow command to set display device to LCD (following this guide to connect LCD panel) or HDMI (1080p):

LCD:

fdt set boot_disp output_type <0x01>;
fdt set boot_disp output_mode <0x04>;
fdt set disp screen0_output_type <0x01>;
fdt set disp screen0_output_mode <0x04>;
fdt save;
reset;

HDMI (1080p):

fdt set boot_disp output_type <0x00>;
fdt set boot_disp output_mode <0x00>;
fdt set disp screen0_output_type <0x03>;
fdt set disp screen0_output_mode <0x0a>;
fdt save;
reset;

Change X11 configuration

After you change the display device, you should also tell the X11. Log in the system and modify the X11 configuration like this:

LCD:

ai@linbian:~$ cd /etc/X11/
ai@linbian:/etc/X11$ sudo ln -sf ./conf.d/xorg_lcd.conf ./xorg.conf
ai@linbian:/etc/X11$ ls -l xorg.conf
lrwxrwxrwx 1 root root 22 Oct 10 10:41 xorg.conf -> ./conf.d/xorg_lcd.conf
ai@linbian:/etc/X11$ sudo systemctl restart lightdm

HDMI (1080p):

ai@linbian:~$ cd /etc/X11/
ai@linbian:/etc/X11$ sudo ln -sf ./conf.d/xorg_hdmi.conf ./xorg.conf
ai@linbian:/etc/X11$ ls -l xorg.conf
lrwxrwxrwx 1 root root 23 Oct 10 10:46 xorg.conf -> ./conf.d/xorg_hdmi.conf
ai@linbian:/etc/X11$ sudo systemctl restart lightdm

CTP Config

After you connected the CTP panel to the board (see the guide), insmod its driver like this:

sudo insmod /lib/modules/4.4.55+/gt9xx_ts.ko

Notice : The CTP driver in the image on FTP server is not the latest version, you should download our SDK and compile the image by yourself to confirm CTP work well.

External Storage Config

Localisation

Remote Access

IP address

Using the board with a display

Using the terminal (open a Terminal window from the desktop), simply type hostname -I which will reveal your board IP address.

Using the board without a display

Router Device List

In a web browser navigate to your router's IP address e.g. http://192.168.3.1, which is usually printed on a label on your router; this will take you to a control panel. Then log in using your credentials, which is usually also printed on the router or sent to you in the accompanying paperwork. Browse to the list of connected devices or similar (all routers are different), and you should see some devices you recognise. Some devices are detected as PCs, tablets, phones, printers, etc. so you should recognise some and rule them out to figure out which is your board. Also note the connection type; if your board is connected with a wire there should be fewer devices to choose from.

Using your smartphone

The Fing app is a free network scanner for smartphones. It is available for Android and iOS.

Your phone and your board have to be on the same network, so connect your phone to the correct wireless network.

When you open the Fing app, touch the refresh button in the upper right-hand corner of the screen. After a few seconds you will get a list with all the devices connected to your network.

VNC

Remote access to the board's graphical interface, viewed in a window on another computer.

Installing VNC server

On your board, run the following commands to install the latest version of VNC server.

$ sudo apt-get update
$ sudo apt-get install tightvncserver

Enabling VNC server

Enable VNC Server at the command line using:

$ vncpasswd
$ tightvncserver

Enabling VNC server autostart on boot

Create a file in /etc/init.d/, eg. tightvncserver.

$ sudo vi /etc/init.d/tightvncserver

Content is as follows:

#!/bin/sh
### BEGIN INIT INFO
# Provides:          tightvncserver
# Required-Start:    $local_fs
# Required-Stop:     $local_fs
# Default-Start:     2 3 4 5
# Default-Stop:      0 1 6
# Short-Description: Start/stop tightvncserver
### END INIT INFO

### Customize this entry
# Set the USER variable to the name of the user to start tightvncserver under
export USER='ai'
### End customization required

eval cd ~$USER

case "$1" in
  start)
    su $USER -c '/usr/bin/tightvncserver -depth 16 -geometry 800x600 :1'
    echo "Starting TightVNC server for $USER "
    ;;
  stop)
    su $USER -c '/usr/bin/tightvncserver -kill :1'
    echo "Tightvncserver stopped"
    ;;
  *)
    echo "Usage: /etc/init.d/tightvncserver {start|stop}"
    exit 1
    ;;
esac
exit 0

Grant permission to execute the file

$ sudo chmod +x /etc/init.d/tightvncserver

Update boot list

sudo update-rc.d tightvncserver defaults

Connecting to your board with VNC Viewer

On your board use these instructions to discover your private IP address.
On the device you'll use to take control, download VNC Viewer. For best results, use the compatible app from RealVNC.
Enter your board's private IP address into VNC Viewer:

SSH

Access the command line of the board from another computer. SSH server is enabled by default on Linbian.

Set up your connection

Make sure your board is properly set up and connected. Use these instructions to discover your private IP address.

Set up your client

SSH is built into Linux distributions and Mac OS. For Windows and mobile devices, third-party SSH clients are available.

Using Linux or Mac OS

To connect to your board from a different computer, copy and paste the following command into the terminal window but replace <IP> with the IP address of the board.

$ ssh ai@<IP>

If you receive a connection timed out error it is likely that you have entered the wrong IP address for the board.

When the connection works you will see a security/authenticity warning. Type yes to continue. You will only see this warning the first time you connect.

Next you will be prompted for the password for the ai login: the default password on Linbian is lindeni. For security reasons it is highly recommended to change the default password on the board. You should now be able to see the board prompt, which will be identical to the one found on the board itself.

Using Windows

You may need to download an SSH client. The most commonly used client is called PuTTY and can be downloaded from here.

Add your board as a host

Type the IP address of the board into the Host Name field and click the Open button.

Connect

When the connection works you will see the security warning shown below. You can safely ignore it, and click the Yes button. You will only see this warning the first time PuTTY connects to a board that it has not seen before.

You will now see the usual login prompt. Log in with username ai and password lindeni. You should now have the board prompt which will be identical to the one found on the board itself.

SCP

Copy files between your board and another computer using SCP (Secure Copy Protocol).

Copying files to your board

Copy the file file.txt from your computer to the ai user's home folder of your board at the IP address 192.168.3.136 with the following command:

$ scp file.txt ai@192.168.3.136:~/

Copying files from your board

Copy the file file.txt from your board to the current directory on your other computer.

$ scp ai@192.168.3.136:~/file.txt .

Samba

Sharing folders to Windows-based devices.

Installing Samba

The following commmands will install all the required components for using Samba as a server or a client.

$ sudo apt-get install samba samba-common-bin smbclient

Sharing user home folder for use by windows

Adding user to Samba.

$ sudo smbpasswd -a ai

Editing Samba configuration file to tell Samba to share the user home folder.

$ sudo vim /etc/samba/smb.conf

At the end of the file, add the following to share the folder, giving the remote user read/write permissions:

[ai]
    path = /home/ai/
    available = yes
    valid users = ai
    read only = no
    browsable = yes
    public = yes
    writable = yes

@@ Line 175: / Line 175: @@
 ** [http://files.lindeni.org/lindenis-v5/datasheets/V5%c2%a0V100%c2%a0Professional%c2%a0HD%c2%a0IP%c2%a0Camera%c2%a0SoC_V1.1.pdf Allwinner V5 V100 SoC Datasheet (English version)]
 ** [http://files.lindeni.org/lindenis-v5/datasheets/V5%c2%a0V100%c2%a0Professional%c2%a0HD%c2%a0IP%c2%a0Camera%c2%a0SoC_V1.1.pdf Allwinner V5 V100 SoC Datasheet (Chinese version)]
-If you access the file failed, please send an e-mail to <b>services@lindeni.com</b>.
+If you cannot access the file, please send an e-mail to <b>services@lindeni.com</b>.
 * X-Powers AXP233 Information
 ** [http://files.lindeni.org/lindenis-v5/datasheets/AXP233_Datasheet_V1.0_en.pdf AXP233 Datasheet (English version)]
 ** [http://files.lindeni.org/lindenis-v5/datasheets/AXP233_Datasheet_V1.0.pdf AXP233 Datasheet (Chinese version)]
 ** [http://files.lindeni.org/lindenis-v5/datasheets/AXP233%20User%20Manuale_V1.0.pdf AXP233 User Manual (Chinese version)]
-If you access the file failed, please send an e-mail to <b>services@lindeni.com</b>.
+If you cannot access the file, please send an e-mail to <b>services@lindeni.com</b>.
 * [http://files.lindeni.org/lindenis-v5/datasheets/K4B4G1646E-BYK0.pdf Samsung DDR3L Datasheet]
 * [http://files.lindeni.org/lindenis-v5/datasheets/OP03-JS1158%20FORESEE_eMMC_NCEMASD9-08G%20SPEC%20A0%2020150701.pdf Foresee eMMC Datasheet]

Difference between revisions of "Lindenis V5"

Revision as of 01:50, 16 September 2022

Contents

Key Features

Target Applications

Accessories Step-by-Step Guides

Power Supply

HDMI Cable

Enclosures

Camera module

LCD

Flash module

WiFi and Bluetooth module

Hardware Specification

SoC and Memory

CPU Architecture

VPU Architecture

IPU Architecture

AIE Architecture

System Memory

Board Features

Video Out

Video In

Audio

Network

Storage

Expansion Ports

Board Information

Board Schematic

Board Certifications

Datasheet

SDK

Overview

Features

Main Components

File system

Kernel

Bootloader

Toolchain

Layout

Documents

Download and Build

System requirements

Linux host setup

Ubuntu 14.04

Downloading

SDK

Basic rootfs

Toolchain

Base Rootfs and Toolchain for Chinese Developer

Building

Setup env

Build source

Build image

Installation

Linbain OS

Overview

Applications

Framewrok

Libraries

Linux Kernel

Setup

What you Need

Installation

Troubleshooting

Usage Guide

Terminal

Camera Module

download source code from github

compile

user commd

Webcams

Gstreamer

Camera source

Omx hardware H.264 decoder and encoder

Display sink

Play Video

Play Audio

Python

GPIO