Falcon Assist
Overview: 
Homelessness is devastating, dangerous and isolating. People sleeping on the street are almost 7 times more likely to have been victims of violence. More than one in three people sleeping rough have been deliberately hit or kicked or experienced some other form of violence whilst homeless. Homeless people are over nine times more likely to take their own life than the general population. Falcon Assist is an Internet Of Things product that provides homeless people around the UK with the services they need, assisting them through life as best as we can. 
Challenge: 
Identify an opportunity for an IoT product for which the industrial design and software interface are dedicated to a clearly defined context e.g. healthcare, leisure, sport, security, travel. This opportunity may be based around current needs or projected up to five years into the future.
Duration: 3 Months

Development
Solution
System Overview 
The overall system allows the user access to free services such as food, drink and clothes by scanning the QR code on their wristband at selected vending machines. The Falcon Assist hub can also be used to apply for paid or volunteering work. 
Features and Components
Main Screen Assembly - The main screen assembly consists of the case, touchscreen assembly, battery and processor, which is a Cortex-A9 chip
Stand and Base Assembly - The stand is made up of two ABS pieces which join with snap hooks and grooves. The main screen is attached to   the stand by a casted steel plate that allows the screen to tilted back and forth as well as move up and down. 
QR Scanner Camera and Case - This is where the camera is housed within two ABS shells that join using a lip and groove joint. The camera enclosure case can be connected to the main screen by a lip and groove joint.
Falcon Assist Wristband with QR Code - The Falcon Assist wristband is used allow the user access to a variety of free services such as food, clothing and over the counter health medicines by scanning their unique QR code.

Details
In-context Render 

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