Touch sensors designed into multi-user classroom workstations

Touch sensors designed into multi-user classroom workstations

Technology News |
Touch sensing solutions provider Zytronic has extended the use of its Projected Capacitive Technology (PCT) into a new desk design from Asian user interface specialist VitalTouch. The interactive school desk is expected to enhance the whole learning process, dispensing with traditional writing equipment and white boards. Each desk incorporates a full colour display with an integrated touchscreen, utilising Zytronic’s ZYPOS 19-inch touch sensor product.
By eeNews Europe


The company’s ZXY100 touch controller is also specified, allowing dual touch operation to be realised. The interactive school desk has now gone beyond the concept phase, with 10 tables already being used for educational purposes at the Nan-Hu Junior High School in Taipei. This is part of the Taiwanese government’s e-Future Initiative, which will see desks of this kind deployed in 50 schools per year throughout the country.
The innovative PCT touch sensing mechanism is made up of a matrix of micro-fine (10 µm diameter) copper capacitor tracks embedded within a laminated substrate. The substrate material can be placed behind a thick protective overlay, made of glass or polycarbonate – safeguarding the touch sensor from the various forms of impairment that blight alternative methods of sensing touch events, such as surface capacitive and resistive.
“Durability is clearly of prime importance in this application environment. The touchscreens integrated into the desks are constantly exposed to various forms of trauma – scratches from pupils’ bags and writing implements, as well as liquid spillages, shocks, etc, which would potentially damage conventional touch sensors,” states Morgan Wen, General Manager of VitalTouch. “Touch accuracy is also vital, as children have smaller hands than adults. The inclusion of Zytronic’s ZXY100 touch controller in this design has meant that it has greater precision, in addition to supporting complex gesture recognition.”

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