Teardown of Given RF pillcam.
Another pill-cam teardown – [Link]
by PiJuice @ instructables.com:
I’m so excited about this new project! A truly compact and portable Raspberry Pi Camera and it’s easy as anything to build!
I first thought about building a Raspberry Pi Camera after seeing the SnapPiCam instructable guide. This is a clever little project, which uses a LiPo battery to power a Raspberry Pi model A. But it got me thinking could I do something even more compact which is even simpler to build?
The real challenge is powering this little baby. Where the SnapPiCam is using a separate battery, converter and charging unit I’ve used the PiJuice. It’s basically an all in one battery module for the Raspberry Pi and it’s an ideal integrated power solution for a DIY Compact Camera.
I’ve also decided to use the Raspberry Pi a+ as it’s the cheapest and smallest available Raspberry Pi so it’ll fit nicely with PiJuice and make this camera supper compact!
Raspberry Pi Compact Camera – [Link]
by Martin Rowe @ edn.com:
With today’s circuit components in ever–shrinking packages, finding an overheating component or a component damaged from heat during assembly can be a challenge. To help isolate those components, Fluke has introduced the TiX series of high-definition thermal imaging cameras.
Consisting of the models, the TiX series cameras have resolutions of 1024×768 and 640×480 pixels that display across the imager’s 5.6-in. display. That’s 3.1 million pixels and 1.2 million pixels, respectively, when using SuperResolution mode. The TiX imagers have a temperature range of -40°C to 2000°C (-40°F to 3632°F).
See the details with an HD thermal imager – [Link]
by Michael Wang & Jennifer Qian @ cornell.edu:
Imagine you are traveling the beautiful Icelandic countryside. You and your significant other have found the perfect place for a picture, and you both look stunning that day. But there is no one around to take it for you! You go for the selfie, but your arm just isn’t long enough to do justice to the landscape.
Introducing the Selfiebot! This robot is designed to track faces and take pictures of you and your friends, completely autonomously. The system allows the user to set a number of parameters specifying image properties, centering properties, and photo taking parameters. We used OpenCV running on a laptop computer for image processing and facial detection, and relayed scanning and centering commands to the robot via serial communication to the ATmega 1284 microcontroller.
Selfiebot – Your personal photo companion – [Link]
This camera module can perform image processing such as AWB (auto white balance), AE (automatic exposure) and AGC (automatic gain control), for the video signal coming from CMOS sensor. What’s more, in fusion of other advanced technology such as image enhancement processing under low illumination, and image noise intelligent forecast and suppress, this module would output high quality digital video signals by standard CCIR656 interface. OV7670 built-in JPEG decoder supported reatime encoding for collected image, and external controller can easily read the M – JPEG video streams, achieving the camera design of double stream. OV7670 supported motion detection and OSD display function of screen characters and pattern overlay, capable of self-defining detection area and sensitivity.
OV7670 Camera Module DIY Guide – [Link]
Serial camera module that captures time-lapse and stop-motion videos plus images to uSD card. Use with any micro like mbed and Arduino.
ALCAM allows any embedded system with a serial interface (UART, SPI or I2C) to capture JPG/BMP images and also to record them right onto an SD card. Also, ALCAM gives you the ability to create time-lapse and stop-motion AVI videos and save them directly to the SD card. All done through a set of simple and well documented serial commands. ALCAM can also capture images and videos though a special pin, without the need to send any commands.
ALCAM-OEM – Serial camera module – [Link]
I recently got my hands on a pair of Flir Lepton thermal imaging sensors and have spent the last week bringing them online in my spare time. These are absolutely incredible devices that I believe will pave the way to consumer devices incorporating thermal imaging cameras. The footprint of the camera module (and optical assembly) is about the size of a dime. The resolution is 80×60 at 14bpp which is remarkable despite sounding low.
Flir Lepton Thermal Imaging Sensor + Gameduino 2 – [Link]
Interfacing a cheap phone camera module to a PIC32 microcontroller – [Link]
by Junko Yoshida @ edn.com:
As automotive electronics takes center stage at Electronica this week in Munich, a “microcamera” module recently designed by researchers at the Fraunhofer Institute for driver-assistance applications is expected to enjoy the spotlight.
The new camera module — an image sensor with optics mounted on a printed circuit board — measures 16x16x12 cubic millimeters. It is visibly smaller than current-generation driver-assist cameras, whose edge lengths are “20x20x20 cubic millimeters (without optics),” according to a Fraunhofer press release.
CogniVue, Fraunhofer debut supersmall camera at Electronica – [Link]
by Ioannis Kedros @ embeddedday.com:
I am very new to the multicopters hobby and a super newbie to the FPV (First Person Viewer) flying. I’ve never watch in real time someone flying through the screen but I’ve watched hundreds of videos online! The best-case scenario is to use some goggles (like the Fat Shark) in order to have a better experience. This will make you believe that you are actually inside the cockpit flying the machine. And that’s awesome!
But sometimes, even when everything looks simple this is not translated to cheap as well! A good FPV system, from the camera on the copter to the radio transmission system and the screen on the ground will cost you sometimes more than $200 (without even taking the price of the goggles into the equation). This is huge for my budget especially when the cost will be mirrored to a hobby of mine! So, I am going to try the most efficient solution!
FPV System – [Link]