現貨供應最新開發模組

Raspberry Pi 樹莓派相機 v2 - 8MP 8百萬畫素

  • 8 megapixel camera capable of taking photographs of 3280x2464 pixels
  • Capture video at 1080p30, 720p60 and 640x480p90 resolutions
  • All software is supported within the latest version of Raspbian Operating System
  • Applications: CCTV security camera, motion detection, time lapse photography

 

代號
rpi-camera-8mp

SKU 即原廠標號
2510728

定價
1,100
特價
900 (含營業稅)

有庫存

原廠連結:https://tw.element14.com/webapp/wcs/stores/servlet/ProductDisplay?msg=&catalogId=15001&langId=-8&storeId=10192

產品總覽


雖說 Raspberry Pi 在過去三年間已經有過好幾次升級,但它的第一款官方配件 — 5MP 的 Omnivision 相機模組,卻是一直持續賣到了現在。之所以會這樣,是由於廠方當時為了談低價格進行了大批量的採購,這就導致之後的幾年,組件數量都變得比較充足。不過時至今日,CEO Eben Upton 終於對外宣佈,庫存已經幾乎都被消化,所以配件也迎來了相應的升級,換成了 Sony 產的 8MP IMX219 感光元件。

它可以拍攝 3,280 x 2,464 解析度的照片,同時還能進行 1080p @30fps 錄影。按照 Upton 的說法,他是因為出色的畫質、色彩保真度和低光表現才選擇了這款 CMOS,而且其在經過了前 Broadcom 影像工程師 Naush Patuck 的調校後,與 Raspberry Pi 的 Videocore IV GPU 也能很好地搭配使用。

The Raspberry Pi Camera Module v2 is a high quality 8 megapixel Sony IMX219 image sensor custom designed add-on board for Raspberry Pi, featuring a fixed focus lens. It's capable of 3280 x 2464 pixel static images, and also supports 1080p30, 720p60 and 640x480p60/90 video. It attaches to Pi by way of one of the small sockets on the board upper surface and uses the dedicated CSI interface, designed especially for interfacing to cameras. The board itself is tiny, at around 25mm x 23mm x 9mm. It also weighs just over 3g, making it perfect for mobile or other applications where size and weight are important. It connects to Raspberry Pi by way of a short ribbon cable.

  • 8 megapixel camera capable of taking photographs of 3280x2464 pixels
  • Capture video at 1080p30, 720p60 and 640x480p90 resolutions
  • All software is supported within the latest version of Raspbian Operating System
  • Applications: CCTV security camera, motion detection, time lapse photography

產品訊息

  • Silicon Manufacturer Broadcom
  • Core Architecture -
  • Core Sub-Architecture -
  • Silicon Core Number -
  • Silicon Family Name -
  • For Use With Compatible with all models of Raspberry Pi
  • Kit Contents Raspberry Pi Camera v2
  • Features Produces 3280x2464 pixel images, supports 1080p30, 720p60 and 640x480p60/90 video, CSI interface with Raspberry Pi, Sony IMX219 sensor
  • Product Range Raspberry Pi Camera
  • SVHC To Be Advised

 

資料來源:http://raspi.tv/2016/new-and-old-raspberry-pi-camera-comparison-shots-1-3-2-1-noir

I thought it would be fun to run the same tests on the new Pi cameras that I did on the original one back in May 2013. Unfortunately my first Pi camera 2.1 was faulty so I had to wait an extra day before I could do it. (It’s the first time out of about 50 Raspberry Pi products that I have ever had a faulty one.) But now here are the results. I’ve compared both 2.1 cameras with both 1.3 Raspberry Pi cameras.

Methodology

I shot the scene out of an open window, trying to get all three cars and their registration plates into view. All four cameras were used, one after the other as quickly as I could swap them over. The latest camera software was used in the default maximum resolution for each camera. I had to do some vertical and horizontal flipping, depending on which camera I was using.

The idea was to try and get the same conditions for each shot. It was partially cloudy though, so not ideal weather. But what we have serves the purpose for a quick comparison. The 2.1 shots are larger because they are 8 Megapixels vs the 1.3’s 5 Megapixels. You can click the image to get a 1500px version…

Same scene shot with all 4 Pi cameras

Same scene shot with all 4 Pi cameras

Wider Field Of View – Bit Less Exposure

The Pi camera 2.1 seems to give a nice colour balance compared to 1.3, but this shot appears a little dark and underexposed. It may be because of the wider field of view and more sky in the shot. Auto-exposure is a bit of a black art. It will be interesting to see what happens in other scenes and lighting conditions.

This seems to be consistent as we got the same difference between the NOIR versions too. This is hardly surprising since they’re the same cameras without IR filter. But it gives us a nice cross-check.

I also shot the scene with my Nikon D90 on an auto mode (aperture priority at f/8) to compare. I normally shoot exclusively in manual mode with this camera but thought it would make an interesting comparison. Obviously the sharpness of a £400 DSLR is in a completely different league, but it gave an exposure result in between the two Pi camera models…

Same scene shot with D90

Same scene shot with D90

 

What About Resolving Power At Distance?

When I tested the Pi camera 1.3 it was capable of resolving a car registration plate across the street. Fortunately my neighbour hasn’t changed vehicles since then, so I thought I’d do the same again. That’s the reason for the choice of shot – not because the view out of the window is particularly fabulous.

So here I’ve cropped in on the parts containing the three cars. You can click the image for the 1500px version…

 

Zooming in on the cars

Zooming in on the cars


If you want the full resolution (6 MB) version, click here.

 

Now Let’s Zoom Right In to 200%

To make it easier to compare resolving power, I’ve gathered together and enlarged the registration plates to 200%. If you click the following image you’ll get the full-size version…

Registration Plates close-up

Registration Plates close-up

In the above less magnified shot, the Pi camera 1.3 looks a little clearer. If you click the above photo to go to the fully magnified shot, you’ll see that the newer Pi camera has slightly more resolution. The 1.3 camera looks a little “blocky” for the first registration plate. It’s similar for the middle one, but the one on the right is not very sharp on the newer camera. For that one, the older camera is noticeably clearer. Some lenses perform better around the periphery than others. It looks as if the 1.3 has a slight edge here on ‘peripheral vision’.

Both the NOIR cameras were a little less sharp on the registration plates compared to their IR-filtered couterparts. I imagine this is the ‘nature of the beast’ and is due to the IR hitting the sensor.

Lots More Testing To Do

This is just one use-case and one set of lighting conditions. There’s a lot more playing to be done. I look forward to seeing the output from other people’s cameras.

 

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