Programmable Motorized Focus Camera Raspberry Pi now Support Auto Focus

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Introduction

The standard pi camera is fixed focus lens, some of them are glued which can not be adjust by users, and some of them are not glued which can be adjust the lens focus manually. But in certian circumstance, you want to programmably control the focus distance remotely where the device can not be reached. The ArduCAM team now designed motorized control focus 5MP and 8MP camera module for Raspberry Pi series boards to address this problem. Now the auto focus function is also implement by the Arducam team, now the auto-focus demo source code is available on our github.

Features

  • High-Definition video camera for Raspberry Pi Model A/B/B+ and Raspberry Pi 2 Pi 3B, Pi 3B+ and Pi Zero
  • 5MP OV5647 or 8MP IMX219 sensor with motorized focus lens
  • Integral IR filter
  • Angle of View: 54 x 41 degrees
  • Field of View: 2.0 x 1.33 m at 2 m
  • Full-frame SLR lens equivalent: 35 mm
  • Focus distance: 4 cm to infinity (can be customized to much closer distance)
  • Size: 25 x 24 mm
  • 15 cm flat ribbon cable to 15-pin MIPI Camera Serial Interface (CSI) connector

Demo Video

Arducam V2.1 Multi-Camera Adapter Board for Raspberry Pi 8MP Camera IMX219

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Introduction

Since the old multi-camera adapter board doesn’t work with Raspberry Pi 8MP IMX219 pi camera due to the camera driver issue. Now Arducam team designed upgrade V2.1 multi-camera adapter board for both 5MP and 8MP pi cameras. Consider that the high speed CSI camera MIPI signal integrity is sensitive to long cable connection, the new adapter board can only connect maximum 4 cameras to a single pi board. Because it covers the most of the use cases like 360 degree view photography and surveillance, and add more cameras will degrade the performance of the cameras. Like always please note that Raspberry Pi multi camera adapter board is nascent product that may have some stability issues and limitations because of the cable’s signal integrity and RPi’s closed source video core libraries, so use it on your own risk.

Application

  • IoT cameras
  • Robot cameras
  • Wildlife cameras
  • 3D scanner
  • 360 view surveillance camera

Features

  • Accommodate 4  Raspberry Pi cameras on an multi camera adapter board
  • Take still photos in sequence (not at the same time)
  • Display real time video in lower frame rate
  • 3 GPIOs required for multiplexing on the adapter board
  • All camera ports are FFC (flexible flat cable) connectors
  • Support 5MP OV5647 and 8MP IMX219 pi cameras
  • Support Raspberry Pi A/B/B+ and Pi 2, Pi3 B, Pi3B+

Video Demo

Second Generation ArduCAM USB2.0 Camera Shield

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The second generation of Arducam USB2.0 shield is designed to replace the old one released on March 2017 while keeping the same form of factor and software compatible. The highlight of the new USB2.0 camera shield is that it has onboard 8MByte hardware frame buffer, and overcome the bandwidth and dropping frames issue when using the software frame buffer scheme. In addition, with onboard frame buffer it supports synchronized multiple cameras taking images exactly at the same time. Now it well supports both PC and embedded system like Raspberry Pi, and also can provide customized support for Odroid, Beaglebone Black, Nvidia JETSON TK/TX boards.

Features

  • Support any parallel image sensors
  • Support 8/10/12 bit pixel color depth
  • Build-in IRCUT control  (optional)
  • Need extra MIPI to parallel adapter board for supporting MIPI interface sensors
  • Support x86 PC, ARM 32/64bit, Odroid C2, Raspberry Pi hardware platforms
  • Support Windows, Linux OS, ROS
  • Support C/C++, Python Programming Languages
  • Fully customizable and can be ported to other hardware platform and software OS
  • Provide free binary SDK library and demo software source code

Specifications

  • Bandwidth:480Mbps USB2.0
  • I/O Voltage Standard: 3.3V
  • Connector: Micro-USB2.0
  • Onboard Frame Buffer 8MBytes
  • Size: 40 x 40 mm
  • Weight: 20g
  • Power Consumption: 5V/300mA
  • Operation Temperature: -10℃~+55℃

Table 1 Featured Parallel Camera Modules Supported

Resolution Frame Rate Camera Module Sensor Vendor
0.3MP 30fps OV7670/OV7725/OV7740 Omnivision
0.3MP 30fps GC0308 GlaxyCore
0.3MP 60fps MT9V022/MT9V034 Aptina
1MP 30fps OV9712 Omnivision
1MP 30fps NT99141 Novatek
1.3MP 22fps AR0134/AR0135 Aptina
1.3MP 15fps MT9M001 Aptina
2MP 12fps MT9D111 Aptina
3MP 10fps OV3640 Aptina
5MP 5fps OV5640/OV5642 Omnivision
9MP 3fps MT9N001 Aptina
10MP 3fps MT9J001/MT9J003 Aptina
14MP 2fps MT9F001/MT9F002 Aptina

Video Demo

Documents

Arducam USB2 Camera Shield DataSheet
Arducam USB2 Camera Shield User Guide
Arducam USB Camera Shield SDK C/C++ User Guide
Arducam USB Camera Shield SDK Python User Guide

Arducam USB3.0 Camera Shield

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Introduction

Arducam USB3 camera shield is the latest USB3.0 camera shields, it offers the improved performance and enhanced functions than the previous USB2.0 camera shield. It not only supports high resolution and high frame rate image sensors, but also supports stereoscopy camera and IRCUT control feature. With the given camera configuration files, user can switch between different cameras without any effort. It is the ideal solution for camera evaluation/testing, robot/drone, IoT, machine vision and scientific applications.Now it well supports both PC and embedded system like Raspberry Pi, and also can provide customized support for Odroid, Beaglebone Black, Nvidia JETSON TK/TX boards. Please also note that when this USB3 camera used on USB2 port the performance will be greatly degraded.

Features

  • Support any parallel image sensors (need proper register settings)
  • Support 8/10/12/14/16 bit pixel color depth
  • Support Stereoscopy mode for dual camera system
  • Build-in IRCUT control  (optional)
  • Need extra MIPI to parallel adapter board for supporting MIPI interface sensors (see Table1)
  • Support x86 PC, ARM 32/64bit, Odriod C2, Raspberry Pi hardware platforms
  • Support Windows, Linux OS, ROS
  • Support C/C++, Python Programming Languages
  • Fully customizable and can be ported to other hardware platform and software OS
  • Provide free binary SDK library and demo software source code

Specifications

  • Bandwidth: 5-Gbps USB3.0 PHY
  • Camera Databus: 16bit@100MHz
  • I/O Voltage Standard: 3.3V
  • Connector: Micro-USB3.0
  • Size: 40 x 40 mm
  • Weight: 10g
  • Power Consumption: 5V/300mA
  • Operation Temperature: -10℃~+55℃

Table 1 Featured Parallel Camera Modules Supported

Resolution Frame Rate Camera Module Sensor Vendor
0.3MP 60fps MT9V022/MT9V034 Aptina
1.3MP 50fps AR0134/AR0135 Aptina
9MP 7fps MT9N001 Aptina
10MP 6fps MT9J001/MT9J003 Aptina
14MP 5fps MT9F001/MT9F002 Aptina

Table 2 Featured MIPI Camera Modules Supported (Need MIPI-Parallel Adapter board)

Resolution Frame Rate Camera Module Sensor Vendor
0.3MP 240fps SC031GS(MIPI) SmartSense
0.3MP 100fps OV7251 (MIPI) Omnivision
5MP 15fps OV5647 (MIPI) Omnivision
8MP 8fps IMX219(MIPI) Sony
13MP 5fps OV13850 (MIPI) Omnivision

Table 3 Featured HISPI Camera Modules Supported (Need HISPI-Parallel Adapter board)

Resolution Frame Rate Camera Module Sensor Vendor
14MP 6fps MT9F002(HISPI) ONsemi
18MP 3fps AR1820HS(HISPI) ONsemi

Documents

Arducam USB3 Camera Shield DataSheet
Arducam USB3 Camera Shield User Guide
Arducam USB Camera Shield SDK C/C++ User Guide
Arducam USB Camera Shield SDK Python User Guide

ArduCAM NOIR Raspberry Pi camera with Motorized IR Cut Filter

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Background

Raspberry pi camera has both color version pi camera board and NoIR version pi camera board. So let’s take a look at the difference between these two types of camera. The color version pi camera has 650nm IR cut filter on top of the sensor, so it can only sensitive to visible light like human eyes. While the NoIR version pi camera also called IR filter removed pi camera which doesn’t have 650nm IR cut filter on top of the sensor, and can sensitive all spectrum of light including ultraviolet light and near infrared light which cannot be seen by humans. So people will think NoIR pi camera is better than the standard color pi camera, because it is sensitive to all spectrum rather than visible light. Yes, it is good, but it depends. The problem of this effect is that the color reproduction is drastically affected.
Unlike your eyes, camera sensors can detect “near infrared” light that just outside the range of the human eye. The image below shows the result.

The plants in this view reflect more infrared than green light so they appear pink in daylight.
To make the image more akin to what humans can see, most cameras are fitted with an infrared-cut filter which only allows visible light to pass through, reflecting unwanted infrared. This is where standard color version pi camera used for.

Motorized (Switchable) infrared-cut filters

There are some instances where capturing infrared light is an advantage. In low-light conditions, cameras capture as much light as possible to produce brighter images, regardless of color. For this reason, some entry-level night-vision cameras don’t feature a cut filter, instead capturing infrared light from on-board LEDs at night at the expense of true color reproduction during the daytime.
The optimum solution is to use a switchable infrared-cut filter. In daylight, the filter covers the sensor to provide color footage, while at night the filter opens for a brighter image. In industry terms, these cameras are known as day/night or true day/night cameras.
These cameras can be combined with infrared lamps which are much more discreet than conventional white-light lighting, since the light produced can’t be seen by the human eye.

Solution

Sometimes you need the camera to work on both daylight and dark (night time) conditions, like the IP-based security camera. ArduCAM pi cameras now feature a motorized IR-cut filter on NoIR pi camera board, the IR-cut can be switched on in the daylight and can be switched off at night, and cooperated with IR light source for night vision. The highlight of this motorized IR-cut mechanism is no additional cable needed between the Raspberry Pi board and camera board.

ArduCAM pi camera with motorized IR cut filter

First we have to edit the config.txt file

sudo nano /boot/config.txt

Add this line at the end of the config.txt file, save and reboot.

disable_camera_led=1

Then use our provide python script to take normal image with IR-cut on and night vision image with IR-cut off. Using the following commands there are two pictures captured.

cd piCamLed
sudo python ./RPI_camera_IR_CUT_NOIR.py
sudo python ./RPI_camera_IR_CUT_IR.py

Software Download

Demo software can be downloaded from here.