Interfacing 5MP SPI Camera with Raspberry Pi Pico
Interfacing 5 mega pixel SPI Camera with Raspberry Pi Pico Microcontroller for image capture & video streaming using Python or C/C++ Library
- Suitable forB.Tech/Diploma RPi Pico students
- Build time1-2 weeks
- LevelBeginner
- Available atAjvika Labs, Kakinada
About this project
Overview
This tutorial is about
Arducam Mega Camera
, as we will be interfacing this
5MP SPI Camera
with
Raspberry Pi Pico
. Recently
Arducam
launched a legendary camera solution that helps you connect one or more cameras to any
microcontroller
without the least effort. It is particularly targeted for
battery-powered IoT devices
, embedded machine vision, and artificial intelligence applications. Arducam Mega Camera can work with any microcontroller with a single standard
SPI interface
In this project we will interface
5-megapixel Arducam Mega Camera
with
Raspberry Pi Pico
and do the various operations including image capturing with various pixel resolutions. We will also stream some videos with the help of the Raspberry Pi Pico Board. Arducam has released
Arducam Mega SDK
for this camera module which makes the
programming
very simple. So, let’s go through this camera & its operations in detail.
Arducam Mega Camera
The Arducam Mega Camera is a legendary camera solution that helps you connect one or more cameras to any microcontroller without or the least effort. It is basically targeted for battery-powered IoT devices, embedded machine vision, and artificial intelligence applications.
Arducam Mega can work with any microcontroller with a single standard SPI interface. Only 4 pins (GPIOs) are required excluding VCC & GND. No memory is required for register settings or frame buffers. It is fully compatible with 3.3V & 5V systems. The camera can be directly used with Arduino, STM8/STM32, ESP8266/ESP32, Raspberry Pi Pico & other MCU systems.
The camera is specially designed for energy-saving applications. You can completely switch off the camera when your MCU is sleeping, without worrying about loading long register settings, as it does for you instantly (less than 100 ms) and automatically. There are two versions of Arducam Mega cameras, one with 3MP(fixed focus) and the other with 5MP(autofocus). It comes with a default enclosure, you can mount it easily wherever you want.
The best thing about the camera is you can use more than 4 camera modules at the same time for still images and readout in a sequential way.
The SDK is fully open-source with comprehensive architecture, which allows you to add a new MCU without effort. You can manipulate the camera through the API methods as if you are using a DSLR camera via button clicks. With the MIT license, you can integrate our SDK source code into your own code without any concern.
Specifications & Features
Arducam Mega – 3MP
Arducam Mega – 5MP-AF
Interface
SPI (4-wire)
SPI (4-wire)
Speed
8Mhz
8Mhz
Optical Size
1/4″
1/4″
Shutter Type
Rolling
Rolling
Sensor Resolution
2048×1536
2592×1944
Still Resolution
320×240
640×480
1280×720
1600×1200
1920×1080
2048×1536
320×240
640×480
1280×720
1600×1200
1920×1080
2592×1944
Power Supply
3.3V/5V
3.3V/5V
Power Consumption
≤750 mW
≤1W
Wake-Up Time
42ms
94ms
Focus
60cm~INF
8cm~INF (Autofocus)
Focal ratio (F-Stop)
F2.8
F2.0
Focal length
3.3mm
3.3mm
View Angle
68.75 Degrees (Diagonal)
68.75 Degrees (Diagonal)
Output Format
RGB/YUV/JPEG
RGB/YUV/JPEG
Dimensions
33x33x17 mm
33x33x17 mm
Pinouts
The Arducam Mega can work with any Microcontroller with a single standard SPI interface (either native or mimic one).
Only four pins (GPIOs) are required excluding VCC and GND.
Brief of Arducam Mega SDK
Arducam has released Arducam Mega SDK for Arducam Mega camera. The SDK is a C and C++ package, containing convenience classes and functions that help in most common tasks while using Arducam Mega API. We support both C API and C++ API. The SDK contains the HAL layer and Arducam Mega Cam protocol layer and API.
SDK framework
Arducam SDK library provides C API and C++ API. Regarding API’s function, Users can get details from
C API Reference
and
C++ API Reference
The function of the Arducam Mega Cam protocol layer is used to communicate with the SPI camera. The function of the HAL layer is used to be compatible with multiple platforms. At present, the SDK has supported Arduino UNO/Arduino Mega2560/ ESP32 /ESP8266/STM32/MSP430/Raspberry Pi Pico platform. The Platform specific SPI bus driver is used to communicate with a specific hardware platform. If users want to adapt the SDK on your own specific platform, you should modify this layer and the HAL layer.
Interfacing 5MP SPI Camera with Raspberry Pi Pico
Now let us see how we can interface 5-megapixel SPI Camera with Raspberry Pi Pico. The connection diagram is fairly simple as shown in the image below.
Following is the connection between Raspberry Pi Pico Board & 5MP Camera.
Camera Pin
Raspberry Pi Pico Board
VCC
5V
GND
GND
SCK
GP2
MISO
GP4
MOSI
GP3
CS
GP7
You can directly connect the Camera with Raspberry Pi Pico Board using the jumper wires.
Arducam Mega Camera Library Installation
The Arducam has released the library for Raspberry Pi Pico & other microcontrollers. The environment configuration and use is based on Arduino IDE.
Library Link:
https://github.com/ArduCAM/Arducam_Mega.git
Downloaded the library file & copy the extracted folder to the Arduino library folder.
Source Code/Program
After the library is added to the Library folder, you can use the example code from the library example to test the Camera.
There are multiple examples for this project, but we will use an example called full_featured to test the camera.
After selecting the example, select the Raspberry Pi Pico from the Board list. Also, select the Raspberry Pi Pico COM port. Then click on the upload button to upload the code to the Raspberry Pi Pico Board.
Testing the Camera
To test the Camera working we need some GUI visulization software. So download the Arducam software from the following link.
https://github.com/ArduCAM/Arducam_Mega/releases/download/v1.0.0/ArducamMegaSetup_Windows_x64.exe
After downloading, install the software on your computer.
After installation, Select the Raspberry Pi Pico port number, the baud rate is 921600, and click open.
Now the Camera gets connected to the visualization software. Therefore you can move the camera in different directions to see everything on GUI Screen.
You can click the image button to take a photo. You can click the close button to close the display window. You can also select the resolution & format.
Click the Video button to enable video streaming mode, the default resolution is 320X240. Click the close button to disable video streaming mode.
The
auto exposure
is enabled by default. When using manual exposure, you need to turn off the automatic exposure function.
The
auto gain
is enabled by default. When using manual gain, you need to turn off the automatic gain function.
The software has a feature for
brightness control
contrast control, EV control, saturation control, special effects control, white balance control
, and
focus control
The
autofocus control
is available on the 5MP Arducam Mega Camera. You can enable or disable this feature. Enable or disable the continuous focus function, the default is to disable the continuous focus function.
Parameter
Function
Open
Enable the focus function
SingleTime
Enable single focus
Persistent
Enable continuous focus
Stop
Pause autofocus
Close
Turn off focus
That’s all from this tutorial. This camera has the ability to empower the future of IoT as this is the best camera solution for any MCU-based, low-power IoT and embedded vision applications/systems. If you want to use this camera with higher-level controllers, you can follow a few of the guides below.
Arducam Mega Camera with Arduino UNO
Arducam Mega Camera with ESP8266
Arducam Mega Camera with ESP32
Video Tutorail & Guide
Video Streaming & Image Capturing with Raspberry Pi Pico & 5MP SPI Camera Module
Watch this video on YouTube
This tutorial is about
Arducam Mega Camera
, as we will be interfacing this
5MP SPI Camera
with
Raspberry Pi Pico
. Recently
Arducam
launched a legendary camera solution that helps you connect one or more cameras to any
microcontroller
without the least effort. It is particularly targeted for
battery-powered IoT devices
, embedded machine vision, and artificial intelligence applications. Arducam Mega Camera can work with any microcontroller with a single standard
SPI interface
In this project we will interface
5-megapixel Arducam Mega Camera
with
Raspberry Pi Pico
and do the various operations including image capturing with various pixel resolutions. We will also stream some videos with the help of the Raspberry Pi Pico Board. Arducam has released
Arducam Mega SDK
for this camera module which makes the
programming
very simple. So, let’s go through this camera & its operations in detail.
Arducam Mega Camera
The Arducam Mega Camera is a legendary camera solution that helps you connect one or more cameras to any microcontroller without or the least effort. It is basically targeted for battery-powered IoT devices, embedded machine vision, and artificial intelligence applications.
Arducam Mega can work with any microcontroller with a single standard SPI interface. Only 4 pins (GPIOs) are required excluding VCC & GND. No memory is required for register settings or frame buffers. It is fully compatible with 3.3V & 5V systems. The camera can be directly used with Arduino, STM8/STM32, ESP8266/ESP32, Raspberry Pi Pico & other MCU systems.
The camera is specially designed for energy-saving applications. You can completely switch off the camera when your MCU is sleeping, without worrying about loading long register settings, as it does for you instantly (less than 100 ms) and automatically. There are two versions of Arducam Mega cameras, one with 3MP(fixed focus) and the other with 5MP(autofocus). It comes with a default enclosure, you can mount it easily wherever you want.
The best thing about the camera is you can use more than 4 camera modules at the same time for still images and readout in a sequential way.
The SDK is fully open-source with comprehensive architecture, which allows you to add a new MCU without effort. You can manipulate the camera through the API methods as if you are using a DSLR camera via button clicks. With the MIT license, you can integrate our SDK source code into your own code without any concern.
Specifications & Features
Arducam Mega – 3MP
Arducam Mega – 5MP-AF
Interface
SPI (4-wire)
SPI (4-wire)
Speed
8Mhz
8Mhz
Optical Size
1/4″
1/4″
Shutter Type
Rolling
Rolling
Sensor Resolution
2048×1536
2592×1944
Still Resolution
320×240
640×480
1280×720
1600×1200
1920×1080
2048×1536
320×240
640×480
1280×720
1600×1200
1920×1080
2592×1944
Power Supply
3.3V/5V
3.3V/5V
Power Consumption
≤750 mW
≤1W
Wake-Up Time
42ms
94ms
Focus
60cm~INF
8cm~INF (Autofocus)
Focal ratio (F-Stop)
F2.8
F2.0
Focal length
3.3mm
3.3mm
View Angle
68.75 Degrees (Diagonal)
68.75 Degrees (Diagonal)
Output Format
RGB/YUV/JPEG
RGB/YUV/JPEG
Dimensions
33x33x17 mm
33x33x17 mm
Pinouts
The Arducam Mega can work with any Microcontroller with a single standard SPI interface (either native or mimic one).
Only four pins (GPIOs) are required excluding VCC and GND.
Brief of Arducam Mega SDK
Arducam has released Arducam Mega SDK for Arducam Mega camera. The SDK is a C and C++ package, containing convenience classes and functions that help in most common tasks while using Arducam Mega API. We support both C API and C++ API. The SDK contains the HAL layer and Arducam Mega Cam protocol layer and API.
SDK framework
Arducam SDK library provides C API and C++ API. Regarding API’s function, Users can get details from
C API Reference
and
C++ API Reference
The function of the Arducam Mega Cam protocol layer is used to communicate with the SPI camera. The function of the HAL layer is used to be compatible with multiple platforms. At present, the SDK has supported Arduino UNO/Arduino Mega2560/ ESP32 /ESP8266/STM32/MSP430/Raspberry Pi Pico platform. The Platform specific SPI bus driver is used to communicate with a specific hardware platform. If users want to adapt the SDK on your own specific platform, you should modify this layer and the HAL layer.
Interfacing 5MP SPI Camera with Raspberry Pi Pico
Now let us see how we can interface 5-megapixel SPI Camera with Raspberry Pi Pico. The connection diagram is fairly simple as shown in the image below.
Following is the connection between Raspberry Pi Pico Board & 5MP Camera.
Camera Pin
Raspberry Pi Pico Board
VCC
5V
GND
GND
SCK
GP2
MISO
GP4
MOSI
GP3
CS
GP7
You can directly connect the Camera with Raspberry Pi Pico Board using the jumper wires.
Arducam Mega Camera Library Installation
The Arducam has released the library for Raspberry Pi Pico & other microcontrollers. The environment configuration and use is based on Arduino IDE.
Library Link:
https://github.com/ArduCAM/Arducam_Mega.git
Downloaded the library file & copy the extracted folder to the Arduino library folder.
Source Code/Program
After the library is added to the Library folder, you can use the example code from the library example to test the Camera.
There are multiple examples for this project, but we will use an example called full_featured to test the camera.
After selecting the example, select the Raspberry Pi Pico from the Board list. Also, select the Raspberry Pi Pico COM port. Then click on the upload button to upload the code to the Raspberry Pi Pico Board.
Testing the Camera
To test the Camera working we need some GUI visulization software. So download the Arducam software from the following link.
https://github.com/ArduCAM/Arducam_Mega/releases/download/v1.0.0/ArducamMegaSetup_Windows_x64.exe
After downloading, install the software on your computer.
After installation, Select the Raspberry Pi Pico port number, the baud rate is 921600, and click open.
Now the Camera gets connected to the visualization software. Therefore you can move the camera in different directions to see everything on GUI Screen.
You can click the image button to take a photo. You can click the close button to close the display window. You can also select the resolution & format.
Click the Video button to enable video streaming mode, the default resolution is 320X240. Click the close button to disable video streaming mode.
The
auto exposure
is enabled by default. When using manual exposure, you need to turn off the automatic exposure function.
The
auto gain
is enabled by default. When using manual gain, you need to turn off the automatic gain function.
The software has a feature for
brightness control
contrast control, EV control, saturation control, special effects control, white balance control
, and
focus control
The
autofocus control
is available on the 5MP Arducam Mega Camera. You can enable or disable this feature. Enable or disable the continuous focus function, the default is to disable the continuous focus function.
Parameter
Function
Open
Enable the focus function
SingleTime
Enable single focus
Persistent
Enable continuous focus
Stop
Pause autofocus
Close
Turn off focus
That’s all from this tutorial. This camera has the ability to empower the future of IoT as this is the best camera solution for any MCU-based, low-power IoT and embedded vision applications/systems. If you want to use this camera with higher-level controllers, you can follow a few of the guides below.
Arducam Mega Camera with Arduino UNO
Arducam Mega Camera with ESP8266
Arducam Mega Camera with ESP32
Video Tutorail & Guide
Video Streaming & Image Capturing with Raspberry Pi Pico & 5MP SPI Camera Module
Watch this video on YouTube
Technologies used
Hardware components
- ESP32
- ESP8266
- Arduino
- Raspberry Pi
- STM32
Software & tools
- Arduino IDE
What you get
- Working project / hardware kit, tested before delivery
- Complete source code with explanation
- Project demo and guidance for your viva
- Project report, PPT and IEEE paper support (on request)
Delivery & Payment
Delivery takes a minimum of two weeks from the date your inquiry is confirmed.
Payment is in two parts:
• 50% advance to start the project
• Remaining 50% before delivery
Note:
• Documentation and PPT are not included by default
• If you need documentation/PPT, it can be arranged for extra time and cost
We'll confirm the exact timeline and cost with you after reviewing your requirements.