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\subsubsection{RGB LED Coffee Table}
This project demonstrates strongly the end product's idea for the Smart Table. Key points to look at for the RGB Coffee Table is: its output visual look, how the LEDs are being driven, where the LED data is being generated from, and finally the physical design. The visual output of this project is quite impressive due to their implementation of various algorithms to generate the images being displayed. Their implementation of Perlin noise leads to very well done flowing images that are both visually and technically complex. This technique useful in procedural generation of images and thus this is an interesting usage of it. The LEDs are driven using the TLC5940 LED Drivers from Texas Instruments which is a good choice in drivers, as they support each 16 channels, has PWM control, and constant current control. The project uses 8 of these ICs each driving 16 LEDs and then being sent digital data from the main microcontroller to control the table lighting system. The data the microcontroller is sending comes from an outside computer which is processing the stream data and sending it to the micro via a serial interface, thus this allows the table to have access to much higher end software packages and another processor to offload the computationally expensive fast fourier transform the table is using. The final consideration of the table is its physical design, the dividers built by the team is solid solution to the issue of light bleeding into other cells and the addition of making the interior partially reflective helps with the issues of their cells being physically large. The main takeaways from this project is their physical table design and their algorithms chosen for the image generation. \cite{narrative:TiTable}
