Kozio, Inc. (www.kozio.com) has made available free use of their kDiagnostics® Suite, for owners of PandaBoard. The Kozio download gives users an interactive guided tour of the inner workings of PandaBoard, along with a full design verification and hardware validation solution. The download is immediately available directly from the Kozio website http://www.kozio.com/services-and-supports/downloads. Kozio also provides the same expert solution set for customers designing custom devices.
This project is to port honeycomb onto the panda, use hardware acceleration, have a capacitive touch screen, and make the whole project run on recharcgable batterie. What do you get? A powerful dual core tablet. Doesn't it just sound nice.
We are going to attempt to connect and control various sensors and components to the PandaBoard. The component sensors will be a two-directional gyroscope (ADG-500) along with its on-board temperature sensor, BlinkM - I2C Controlled RGB LED(s), an accelerometer device (ADXL-300). We will be using an ADS1100 A/D converter for for our sensor signal conversion.
All these devices will be inserted into a custom made device fabricated using an additive manufacturing process called stereolithography which will contain our circuit. This project is designed to familiarize us with the process of controlling alternate devices using the PandaBoard. Any feedback or suggestions are welcome.
We are looking forward to having the split processing computational power of OMAP4 for developing an add-on module which plugs on to a conventional ultrasonography equipment, analyzing video streaming over the video-out ports/network and providing Radiologists/Sonologists with diagnostic assistance based on computer vision and decision support, displayed over an adjunct interactive video display unit (touch screen LCD panel). The final product will have Image Processing apps working on DSP, base OS functioning on ARM and graphics rendering carried out on SGX.
Ultrasonography is an important noninvasive clinical imaging modality preferred for screening and diagnosis of internal organ abnormalities. At the Medical Imaging and PACS Lab, School of Medical Science and Technology, IIT Kharagpur, we are working on an ambition project towards development of "Computer Vision based Approach for Interpretation of Sonomammography".
This work addresses development of a computer vision based approach which seeks to overcome limitations in respect of inter-observer and intra-observer variability of lesion description, feature analysis and final assessment; and resolving overlap of sonomammography features characterizing different grades of tissue abnormality manifested through architectural appearance and sonological nature of the tissue. The developed methods and algorithms being incorporated into an expert system coupled with an ultrasonic equipment will aid in speedy and accurate assessment of breast tissue abnormality, by radiologists’, through quantitative analysis of the images. You can find regular updates about the development at http://debdoot.web.officelive.com/phdthesis.aspx
Currently, we are working with an OMAP-L138 based platform for implementing part of the work on front-end development. Details are available at http://hawkboard.wikispot.org/Front_Page
However our preliminary housekeeping of total computational requirements shows OMAP4 to be optimally satisfactory, and PandaBoard natively provides the minimal hardware resources required to undertake the complete implementation as an embedded solution.
Gesture/vocal interface to help person suffering from handicap (Blindness, paraplegia, quadriplegia) or elder peoples to keep independence:
For different use schemes:
- To locate: a speaking GPS telling location (street name) on request (button or speech recognition).
- Read and tell (OCR and speech synthesis)
- Speech recognition actuators
- Gesture (eye movement or body movements) or speech commands for actuations
- Status of remote or local sensors of equipped home
- Communicate easily (voip and connected link thru wifi/GSM)
Bringing all these features with the help of software:
- Gesture integration, character read OCR: image sensor and image processing
- Voice recognition / speech syntheses : audio processing
- Actuators and sensor (Local : serial / Ethernet link; remote Bluetooth wifi)
- Speech synthesis integrated for reading or locating
- Communication VOIP (start, stop communication with predefined list of contact trigged by voice or gesture)
I know all these functions already exist separately, but want to integrate all these features in one system with all the advantages of the pandaboard :
- Small form factor
- Low power consumption
- Connectivity (video sensors, wifi Bluetooth…..)
- Power for video and audio processing
- Linux and OMAP Community
- Get a fully integrated solution with one small board!!!
- Pandas are peaceful and powerful bears!
Time Frame :
First hardware and software integration (within 6 month):
- Headset /Microphone
- GPS (uart)
- Webcam USB
- Bluetooth sensor/actuator modules
- Gesture recognition (hand, body movement) and set some linked action
- Speech recognition and set some linked action
- Speech synthesis
- Actuator and sensors (got some Bluetooth/serial sensors and actuators)
- Get street position with speech synthesis work
Second hardware and software integration
- Headset /Microphone
- Design of an extension board GPS (external module with uart), image sensor
- Battery pack and case
- Eye movement recognition and set some linked action
- Develop a graphical interface for option settings for helpers
- More integration with person environment (generally home for quadriplegic or old people)
- Affected by persons suffering from handicap, elder peoples…
- Already set up some helping electronic (sensors, actuators)
- Want to develop a open community of helpers around pandaboard
- Work in electronic engineering (software AND hardware !)
- Developed electronic hardware devices (digital cameras, bluetooth sensors and actuators)
- Got a master in signal (audio and image) processing: openCV is my best friend !
- Developed linux driver for image sensors, PCI boards, LCD displays…
- Got some gesture recognition working on my Ubuntu intel inside computer
Will create a wiki directly in OMAPpedia !
my project mail:
New to all this but here is what I want to do.
1. Use the Pandaboard as a 3G/4G Broadband Router. Connection will be shared on WiFi as well as LAN
2. It ofcourse implies there's a DHCP Server somewhere in there
3. Enclose suitably and mount in a vehicle and make a plan for powering the board
4. Plan is to use a modified usb cellphone charger so that 12V to 5V is done on the cheap :)
5. Therefore, I can have WiFi in car.
6. Should be portable so that i can regularly take out and use at home as well.
I am not sure what distribution i'll use. Familiar with ubuntu but might be a little too 'heavy'
Seems MeeGo, Android, Linaro can also step up to the job. Guess it'll depend on what supports all the hardware.
Other desired applications:
While in car:
1. Would like to see if i can hook it to the On Board Diagnostics port and make it do some logging?
2. Hook maybe a camera to it somehow. Useful for fun random pictures :D
3. Maybe get the interface onto my android phone somehow. VNC maybe?
4. Maybe make it a car entertainment system?
While at home:
1. Use as low power media center to play FullHD hopefully but at least 720p?
2. Network switch/router as in car
So ya I'm totally open to suggestions since I am new and there are a lot of people who know this stuff way better than me!!
Thinking I should maybe blog to Tumblr or something as I go along?
The goal of this project is to build a Slackware ARM optimized for the Pandaboard.
The starting point is Slackware ARM: http://armedslack.org/
Slackware ARM has been already installed successfully on the Pandaboard.
Here are some useful info: http://giovanni.wordpress.com/pandaboard/
The next steps are to recompile kernel and packages for Pandaboard optimization.
Note: at the moment this is an unofficial porting of Slackware to Pandaboard.
This is a USB based boot utility for OMAP4 Platform. And allows you to boot OMAP4 platform over USB interface.
Usage: ./usbboot ./aboot.bin u-boot.bin
where: usbboot is the PC side utility listening on USB bus for asic-id from omap
aboot.bin is the second-stage loader getting loaded to internal sram of omap
The second-stage loader loads u-boot.bin to external ddr
(u-boot.bin can be replaced by any binary that one wishes to execute from ddr)
Project is maintained by Brian Swetland.
Porting Arch Linux to the PandaBoard, a continuation of what's already done over at PlugApps - we have ported Arch Linux to Marvell's Sheeva platform, and the Pandaboard is a much more powerful platform.
We're really excited and hope we can get our hands on a PandaBoard. The possibilities are endless. Whether it be a home storage server, a small-business's NAS, or even a set-top box, PlugApps can make it happen.
The goal of this project is to port Qi bootloader to the PandaBoard. Qi is a tiny, fast, "no frills" bootloader for ARM architectures. It permits direct loading of Linux kernel without intervention of u-boot. Its aim is to stay at the minimum needed to load and boot Linux kernel (without boot-menus or additional peripheral init).
At the moment there are Qi's versions for Samsung s3c* and omap3 (in a different branch) but there is no omap4 version. This project will try to develop and maintain a working version for omap4.
This bootlader will give feedback to the user by turning on/off LEDs on the PandaBoard in a way similar to FreeRunner GTA02 (for example turn on LED on successful kernel pull). It will also accept input from the user by pressing some buttons (for example adding debugging parameters to the kernel command line). To this end maybe I will need to add some push-buttons or LEDs connected to GPIOs
In a second phase I'm planning to add JTAG support to PandaBoard to debug early stages of boot. In this phase I will implement, configure and document a complete open source based JTAG debugging development chain for ARM Cortex A9 in OMAP4 used on PandaBoard. This includes final port of open source JTAG software OpenOCD for OMAP4 on Panda, and then configure and document all software (and hardware) components involved.