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A single built in sensor is in the middle of the box. It is behind the small hole. The other hole is a jack for a plug in dual sensor module.
This is a change from the earlier pictures I posted. I have decided that the only way to properly test 35mm SLR film planes is with dual sensors spaced appropriately.
Selects of Foy Vance & Trevor Sensor performing at the Troubadour
Hollywood, CA
09/23/16
More Highlights:
The Promise of Data: Will this Bring a Revolution in Health Care?
(March 22 to 27, 2015)
Credit: Salzburg Global Seminar/Ela Grieshaber
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It has now become an orthodoxy that we are moving into the age of 'Big Data'. This derives from ever increasing processing power and the vast surge in connectedness - with mobile technologies at the forefront and sensors in nearly all appliances, we are set to have 50 billion devices by 2020 connected in the cloud. It is argued that medical decisions can be truly evidence based, combining the most complete medical science with personal data, drawing where appropriate on 24/7 monitoring through mobile devices and patient reported outcome measures. Lifestyle advice and preventive action can be honed with ever greater accuracy. Benefits from treatment, its best timing, lowest cost, better understood risk, and more predictable side-effects should all flow from this data transition, bringing lower costs and higher value.
Corporations are competing in both investment and rhetoric. In 2013 Google launched a new subsidiary, Calico, which Larry Page claimed would represent 'moonshot thinking around health care', and there have been many similar claims. But how is all this justified? And how can we ensure that those advances which do arise from this new control of data truly benefit patients, rather than just the provider - and that this will be a benefit distributed across the social gradient and globally?
What are the risks on the horizon? Data is often siloed and used for competitive advantage. Protocols around privacy could be tested to destruction; for instance, it is possible to reverse engineer anonymized data to identify individuals. Forbes magazine even reports a case of medical data being sold on eBay. How might these risks be best mitigated?
This session will review the claims for Big Data and its true potential, and seek to identify the conditions under which it should yield the greatest benefits to patients and populations.
Sensors are able to measure temperature, humidity, pressure, sound, light, magnetism, acceleration and various chemical properties in their vicinity. This installation illustrates how quickly and efficiently such sensors work.
credit: Kristefan Minski
I had taken my LX100 apart to clean some debris away from the sensor. After the second time doing this, I had not completely placed the camera sensor's ribbon cable in its connector. This resulted in the image above when trying to snap a photo.
Camera Repair Centre 44 Leinster Road Dublin 01 5355386. Wet Sensor Cleaning by qualified camera technicians.
If we learned anything at CES this past January, it’s that sensors are pervasive in every new cool tech getting to market these days. And health is definitely leading the way in this sensor proliferation. Constant tracking and monitoring through interconnected devices opens up unlimited possibilities for disease management and prevention leading up to new and remarkable business opportunities. Get the ins-and-outs of how these sensors can play to both individuals and enterprises and what companies are now doing with all of this data.
Steve Kovsky, Senior Manager Digital Content, Websense @skovsky
Christine Robins, CEO, BodyMedia @bodymedia
Aidan Petrie, Co-Founder and Chief Innovation Officer, Ximedica @Ximedica
Steve Zadig, Co-founder and COO,VitalConnect @vital_connect
Chris Holbert, CEO, SecuraTrac @SecuraTrac
**http://summersummit.digitalhealthsummit.com/ - The Digital Health Summer Summit takes a deep dive into what it takes to build a successful digital health venture. It's a unique opportunity for entrepreneurs (and intrapreneurs) to hear industry veterans and key industry players share their lessons learned and best practices.
Official Hashtag: #DigiHealthSD
Digital Health Summit Website: bit.ly/DigitalHealthWebsite
Summer Summit Website: bit.ly/DigitalHealthSummer
Twitter: bit.ly/DigitalHealthTwitter
YouTube: bit.ly/DigitalHealthYouTube
Flickr: bit.ly/DigitalHealthFlickr
Linkedin: bit.ly/DigitalHealthLinkedIn
Facebook: bit.ly/DigitalHealthFB
Google+: bit.ly/DigitalHealthGPlus
Instagram: bit.ly/DigitalHealthInstagram
7.1mp Sensor.
Fitted with 38mm to 380mm zoom lens.
I brought it in February 2022 for £2 with a 2gb SD Card.
"...Inquietándonos y profundizando miradas, siendo simples ante los ojos de toda esa basura que está ahi fuera,pero siendo únicos ante los nuestros."
I don't know why I never noticed this before, but my pitch calculations are way off. They're delayed by a good couple of seconds and what's worse, they reverse for the first second. This means that when it pitches forward, the copter actually thinks it's pitching backwards (and then it flips).
Roll is fine, making it even more confusing. It's the same sensors and math, just different axis.
The IMU data is what I actually use -- it's a combination of the gyro and accel data.
The researchers collected information on seawater at Heron Reef using an integrated sensor network. Credit: David I. Kline
This is the 7th tank MOC I've made. It's called the Mark 7 “Athena”. The Mark 7 has quite a few functions like: lights, Christie suspension, gun elevation and turret rotation, an actually shooting and autoloading gun with a six shots magazine, and finally a self-stabilizing gun thanks to the EV3 and a gyro sensor.
You can find a video of this MOC at: youtu.be/HQ_QMChM_5Q
P_P6252723
Canon G7 Sensor Exposed
Here a picture of what the image sensor looks like in a Canon G7 point & shoot camera. The sensor is the small purple & blue window just to the right of center of the image and held back with tape. It is normally mounted in the center of the camera where there is a little green window which is the IR blocking filter.
'Sensor' by Joel Adler's, Sculpture by the Sea, Cottesloe 2021.
Really clever piece physically creates a the sort of pixelation usually done digitally!
AFTER sensor cleaning by www.chipclean.nl
As you'll understand, I am very happy with the resutl! ChipClean is using a cleaning method used in the Semiconductor industry (Philips / NXP); a clean room and ionised air or something.
January 28, 2010 - Photo 28 of 365
I've taken a leave from work and today was the first day back in the office. It was a brief visit, just to do a presentation that I put together yesterday and prepped just once. (Got my fingers crossed that it went ok.)
Although I've been gone for over a week, it seems like nothing really has changed. It's nice knowing that my desk is still the same as the way I left it, lol. j/k
My talk was on the advancement of leaf moisture science technology with a focus on Leaf Wetness Sensors. Since the room was small, it felt awkward asking one of my classmates to take a picture of me presenting, so I just took a picture of my title slide on the overhead screen when I was setting up during the 15-minute intermission.
This is for Rich who wanted to hear my Tuesday presentation, lol: although not comparable to my award-winning presentation for GITA, here's a preview for the one I did today ...
[Introduction]:
How much water is in a tree canopy? Imagine for a second that you're a leaf in a tree. Now some researcher, let's say me, comes over to measure your wetness. To quantify moisture in a canopy’s environment, rain gauges can be installed on top, beneath, or near the tree. However, these collection methods do not measure the "true" leaf wetness; rather measurements of interception, throughfall, or stemflow are obtained instead. So, how do we measure leaf drip? If only there was a micro-sized device that mimics a tipping bucket rain gauge, is lightweight, and sensitive enough to detect moisture. Is that possible? Yes it is! Introducing the advancement of plant canopy instrumentation … this everyone is a leaf wetness sensor!
I'll stop here, but if you're interested in hearing more, I have a 30 minute presentation already prepared just in case, lol :P.
My Baroesque Barometric Skirt reflects environmental data, plus my personal temperature - it's a reflection of the self within the bigger picture. What I mean by this is that how I pass through and interact with the ambient environment interests me. To visualise this passage I have created a skirt that uses sensors to glean environmental data in the form of a barometric sensor board, its data more commonly familiar to those who track and predict weather. To the viewer of the skirt, they will see colours changing in real time on four rays of RGB strip, one for each sensor reading.
This is how I’ve put together the electronics inside the skirt: the aforementioned barometric sensor board protrudes from the skirt and gleans the ambient temperature ( Celcius C) around it, the other sensors on the board collect data and via algorithms in the code work out the altitude (meters m) and pressure (Pascal Pa). I’ve used a Shrimp kit, which is similar to the Arduino Uno, that comes as a bag of components and soldered it onto stripboard. Another temperature sensor, measuring my temperature sits on this stripboard, Four lengths of RGB LED strip radiate from the Shrimp circuit and both the stripboard circuit and the RGB LED strip are sewn onto what I call an ‘apron’, which sits under the skirt and is detachable for washing purposes and also as I like to fashion my electronic circuits as interesting pieces to be viewed in their own right.
The code takes the readings from the sensors and runs an algorithm firstly to convert the data into Celcius, meters or Pascals, and then runs another to mix the colours appearing on each corresponding RGB LED strip. There are 7 colours I’ve set to pass through, the lowest reading being blue, followed by cyan, white, green, yellow, magenta and finally red for the highest reading in each sensor reading data band.
It took a months to create the skirt as there was so many iterations between experimenting with circuits around how to make my idea come to life and creating the skirt, testing paint on fabric, choosing a visual metaphor and style of the skirt, then making the skirt. Next finalising choice of the electronics, coding, prototyping, then transferring the circuit to stripboard. Finally soldering everything together and then debugging, testing, making changes to the code, before eventually putting the skirt and the electronics together.
The Baroesque Skirt’s weather artwork was inspired by the characters Amaterasu & Kabegami from the game Okami.
Read more about the Baroesque Skirt: rainycatz.wordpress.com/2012/10/22/baroesque-barometric-s...
i know... eewwww.
after i did a long exposure of a fountain near my house last thursday eve, i've noticed that there was these big obvious black dots on the screen. i checked the lens, blew on it and tried again, it was still there. so when i got home, i called Jon and asked on what to do. he told me about the Mirror Lock-Up and blew on it... it was still there. the saturday that i was supposed to meet up with fellow Flickrmates, we passed by Samy's Camera in Fairfax and i tried blowing it out using Jon's Rocket Blower thingy. i did a test... went fine.
so i was ok when we got to Santa Monica. then when i was looking at some of the photos that we were taking that night by the beach (long exposures), i started to notice it again, those circles everywhere, color white this time.
seriously, this is beginning to piss me off.