Botts Innovative Research, Inc (Botts-Inc) specializes in the design and application of open standards for sensor systems within the intelligence, defense, and scientific communities.





These videos are available for you to download and use. Please reference the source appropriately.

OWS-4 Demonstration [2005]
Reflecting a dirty bomb scenario in New York, this video demonstrates access to various sensor data though Sensor Observation Services (SOS) and the use of SensorML for on-demand geolocation of satellite imagery and doppler radar. Recorded while the team was at the University of Alabama in Huntsville. [mpeg4]

Geolocation of UAV video onto terrain using SensorML [2009]
On demand geolocation of Tigershark UAV video using SensorML at Empire Challenge 2008. The video and UAV navigation information (latitude, longitude, altitude, true heading, pitch, and roll) are being served from an SOS; geolocation of footprints and video are being accomplished on-the-fly within the client using SensorML. The SensorML process chain ingest video and navigation data from the SOS and using a sensor model for the video camera, geolocates the video data to the 3D terrain. During this demo, the SOS providing the video imagery and navigation data was in the US (Virginia) while the client was accessing and geolocating the video in Toulouse, France. [mpeg4: Part 1. Part 2].

Geolocation Test of Scan Eagle UAV video [2009]
Compared to the geolocation of the Tigershark video data (above), the initial attempts at geolocation of the streaming video from Scan Eagle at Empire Challenge 2008 appears shaky. This may be due to the on-board video stabilizer system making unaccounted-for adjustments, inaccuracies of the reported navigation data, or a faulty assumption in the geolocation process chain. [mpeg4]

Storm Viewing and Camera Control Test [2009]
A test of the ability for a client (Space Time Toolkit) to support control of a storm-watching webcam using SWE. The raw Doppler radar intensity data is being provided in real-time through an SOS and being geolocated on-the-fly using SensorML on the client. As the user clicks on a storm, a request is sent to a Sensor Planning Service (SPS) which controls the camera's pan, tilt, and zoom settings. Another SensorML process chain converts the latitude, longitude, and width setting to appropriate pan, tilt, and zoom setting for the camera, which then focuses on the storm. The changes to the camera can be viewed through the video viewer which is receiving the video from an SOS. [mpeg4]

OWS-7 IED Demonstration [2010]
This demonstration was a test of the Sensor Web Enablement (SWE) framework for supporting the detection of possible Improvised Explosive Devices (IED) using temporal differencing of video taken from a moving vehicle along the same path on different days. The demo exercises one SOS providing raw video and navigation data (Botts-Inc and 52North), a Web Processing Service providing differenced images (George Mason University), another SOS providing differenced images (Compusult), SensorML providing on-demand geolocation of video (Botts-Inc), and Space Time Toolkit (Botts-Inc). [mpeg4]

SPS Control at SPOT Image (Toulouse, France) [2008]
This is a demonstration from Alex Robin on the beta Sensor Planning Service (SPS) being developed at SPOT Image for tasking their satellite system. Demonstrates the ability of a client to interact with an SPS, including the ability to automatically build the tasking interface based on a "describeTasking" request to the service. [mpeg4]