Robotic Lighting Control Application
Acoustic Positioning Research (APR) was so impressed with our algorithms and the possibility of improving their product that they joined us as a corporate sponsor in November 2000. Will Bauer, president of APR, suggested that including our algorithm into APR's product may increase the market for their product by fifty percent. He has also agreed to pay a small royalty to our Centre on each sale of their enhanced product to reflect the fact that they will benefit from the previous work of the Centre. The first problem is to direct lights and sound effects automatically based upon inaudible high frequency sound time measurements. In the past, they have suffered from noisy measurements and poor prediction methods. We now have simulations solving this initial one performer problem using MIBR, SERP, and REST. The results are impressive. The next large steps are to allow multiple performers and for parameters to be identified in the models.
The first APR problem was to predict the future position of a performer using timing measurements as described in the Performer Prediction problem. This problem has now been solved effectively using SERP and APR is incorporating it into their full system. Our solution can improve performance of the many systems that have been sold and are in the field.
Due to current inexpensive prices for video equipment, APR is now also interested in tracking and predicting performers using digital cameras also located on the perimeter of the stage. A small pause in our collaboration was agreed upon due to the sabbatical of Kouritzin and the time required to incorporate the first solution. However, both APR and PINTS are eager to restart collaboration on the second problem, striving to predict multiple performers using the smallest number of cameras, by the end of 2003.