The paper proposes EverCopter, which provides continuous and adaptive over-the-air sensing with detachable wired flying objects. While a major advantage of sensing systems with battery-operated MAVs is a wide sensing coverage, sensing time is limited due to its limited amount of energy. We propose dynamically rechargeable flying objects, called EverCopter. EverCopter achieves both long sensing time and wide sensing coverage by the following two characteristics. First, multiple EverCopters can be tied in a row by power supply cables. Since the root EverCopter in a row is connected to DC power supply on the ground, each EverCopter can fly without battery. This makes their sensing time forever, unless the power supply on the ground fails. Second, the leaf EverCopter can detach itself from the row in order to enjoy wider sensing coverage. An EverCopter, while it is detached, runs with its own battery-supplied energy. When the remaining energy becomes low, it flies back to the row to recharge the battery.

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We propose a novel technique that aggregates multiple sensor streams generated by totally different types of sensors into a visually enhanced video stream. This paper shows major features of SENSeTREAM and demonstrates enhancement of user experience in an online live music event. Since SENSeTREAM is a video stream with sensor values encoded in a two-dimensional graphical code, it can transmit multiple sensor data streams while maintaining their synchronization. A SENSeTREAM can be transmitted via existing live streaming services, and can be saved into existing video archive services. We have implemented a prototype SENSe-TREAM generator and deployed it to an online live music event. Through the pilot study, we confirmed that SENSe-TREAM works with popular streaming services, and provide a new media experience for live performances. We also indicate future direction for establishing visual stream aggregation and its applications.

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