Microsoft Research presents a unique take on wireless charging-- AutoCharge, a system using what amounts to a ceiling-mounted laser and a Kinect unit to locate smartphones before firing required juice in their direction.
The system works as follows. First, the Kinect camera scans the area for smartphone-like objects. Once a phone is detected, the charger (in this case an UltraFire CREE XM-LT6 Focusing LED Flashlight) rotates and fires a straight beam of focused light at a photovoltaic panel on the handset. Furthermore, the system first communicates with the smartphone via Bluetooth or on-board LED in order to check battery levels and ensure it will actually start firing at a phone, not a random rectangular object.
The light in use can be either visible (dramatic but potentially annoying) or invisible infrared (less dramatic, not annoying). Meanwhile a built-in safety mechanism can switch off the beam in case of interruption in just 50 milliseconds.
In this case the "deep frying" consists of spraying graphene oxide droplets into a hot (160℃) blend of acid and organic solvent. The process evaporates the water inside the material, causing it to clump into 3-dimensional "pom-poms."
According to the company the battery can charge an iPhone 2-3 times, as charges an iPad by up to 50%. The case also features an integrated Bluetooth keyboard with 6 rows of high-performance scissor keys within a form-fitting hard shell complete with aluminium accents.
The headphones carry 8 microphones (6 for noise canceling, 2 for voice calls), as well as a heart rate sensor and pedometer. As a result the Zik Sport also include fitness tracking via companion smartphone app complete with heart rate, running speed, vertical oscillation and left/right step synchronisation.
Essentially one dips a disposable strip in the urine before inserting it in the paddle, which features 12 colours to indicate glucose, protein, leukocytes, nitrites, blood, bilirubin, urobilinogen, microalbumin, creatinine, ketone, specific gravity, and pH levels. One then takes a picture of the paddle with the iPhone camera, and the app provides actual results and alerts to possible anomalies. 
