Bummer! Sales have ended.
Unfortunately, tickets for this event are no longer on sale.
Abstract: With location services and machine-to-machine (M2M) communications estimated to become a $10B markets by 2015, demand for an accurate location solution that work both indoors and outdoors has significantly risen in last few years. Thus far, no single technology or solution has able to achieve the desired location accuracy in all environments needed to enable precise applications such as indoor/outdoor navigation, emergency services, asset tracking, retail, etc . In a recent study published by the FCC’s Communications Security, Reliability and Interoperability Council (CSRIC) for E911 indoor position application, the best accuracy achieved by three participating commercial location technologies was 63 meters (67%) for urban and 29 meters (67%) for suburban environment. Though modern GPS receivers are capable of producing very accurate outdoor locations they often fail to get fixes inside buildings. Technologies such as RFID, Wi-Fi, etc. can be quite accurate indoors but lack outdoor coverage and are often extremely complex to scale to large areas. RECON Dynamics, a company based in Kirkland, has developed a low-cost location and telemetry solution that work both indoors and outdoors. RECON uses a combination of patented technologies, such as Direct Sequence Spread Spectrum (DSSS), Time Difference of Arrival (TDOA), Received Signal Strength (RSS) and Sensor Fusion to provide location accuracy on par with GPS outdoors and at room-level in indoor environments. In this talk, we will discuss various existing location technology contrasted with RECON's approach for solving accurate indoor/outdoor location estimation problem. We will also discuss several of the technologies and algorithms RECON has developed to mitigate some of the prevalent problems in the wireless location domain, such as interference, non-line-of-sight and timing synchronization.
Bio: Mr. Indrasis Mondal is the Head of Research and Advanced Technology at RECON Dynamics; a startup company based in Kirkland that offers innovative, extremely flexible and highly accurate location and wireless sensor monitoring solutions for asset management. Indrasis has over 8 years of Research, Algorithm, Software Development experience in the area of signal processing, machine learning, estimation theory, tracking and navigation. Prior joining to RECON dynamics, Indrasis worked at ARCON Corporation in Boston where he was involved in research and algorithm development for aerospace and air traffic navigation. Indrasis has held numerous technical and project lead roles working on all phase of product development life-cycle from concept to transfer and support. Indrasis has a MS in EE with concentration in signal processing and communication from Illinois Institute of Technology, Chicago