Smart Technologies Corporation is a publicly traded company headquartered in Calgary, Alberta, Canada. Founded in 1987, Smart Technologies is best known as the developer of the Smart Board interactive whiteboard. As of the 2011 fiscal year end, Smart Board interactive whiteboards lead the interactive whiteboard category with a 63% share in the United States, 44% share in EMEA and 47% share globally. Interactive Displays / ICT Products Market: Quarterly Insight State of the Market Report, Quarter 4 2010, 31 March 2011. On July 15, 2010, Smart Technologies placed an initial public offering .In 2011, the Smart Technologies Headquarters in Calgary, Alberta, received Leadership in Energy and Environmental Design Gold standard certification. Wikipedia.
SMART Technologies | Date: 2016-11-04
A dispensing system adapted for repeated activation of an aerosol can is described. The dispensing system includes components that improve the ability to receive and secure aerosol cans of different sizes within the dispensing system as well as improving the reliability and energy efficiency of the system.
SMART Technologies | Date: 2016-09-22
The present invention relates to a method and system for determining an optical property of a pointer used in an interactive touch system. The interactive device having a touch area; a plurality of emitters on the periphery of the touch area; the emitters emitting an intensity of light into the touch area; a plurality of pointers having a distinct optical property responsive to the light; at least one detector having a field of view of the touch area. The processing structure, in communication with the emitters and the at least one detector, executes instructions from a memory to: transmit an emitter signal to at least one of the emitters initiating emission of light at the first frequency; receive at least one detector signal from the at least one detector; and determine the distinct optical property from the at least one detector signal.
SMART Technologies | Date: 2016-03-15
A method is described for manipulating a view displayed on one or more follower participants devices to track a view displayed on a lead participants device. A request to manipulate the view displayed on the one or more follower participant devices is received. The lead participant is identified. The follower participants are identified. A lead view of the lead participant is determined. The lead view is communicated to the follower participants computing devices for display. A computing device and a non-transitory computer readable medium having instructions configured to implement the method are also described.
SMART Technologies | Date: 2016-07-08
A method of conditioning a trainee to identify an object and monitoring the trainee to determine when the trainee subconsciously identifies the object is provided. The method includes using a processor to select a visceral response-evoking image for evoking the desired trainee response corresponding with the object, attaching a sensor to the trainee for detecting trainee biological responses, and providing instructions to display a stimulus image depicting the object for a first duration that is below conscious awareness of the trainee. The method includes providing instructions to display the visceral response-evoking image after the display of the stimulus image and for a duration below conscious awareness of the trainee to link the desired trainee response to the object in a mind of the trainee, and detecting trainee recognition of one of the one or more objects based on the biological response data linked to the desired trainee response.
SMART Technologies | Date: 2016-07-08
A method of monitoring a trainee to determine when the trainee subconsciously identifies an object previously associated with a desired trainee response includes attaching at least one biological response sensor to the trainee and receiving biological response data of the trainee from the at least one biological response sensor. The method further includes comparing the biological response data of the trainee to biological responses linked to different ones of a plurality of trainee responses using a processor in communication with the at least one biological response sensor, the plurality of trainee responses including the desired trainee response, and detecting trainee recognition of the object previously associated with the desired trainee response based, in part, on the biological response data being linked to the desired trainee response included with the plurality of trainee responses. The desired trainee response is below the conscious awareness of the trainee.
SMART Technologies | Date: 2016-09-12
Systems and methods for differentiating the spectral response of various optical coatings between a transmitter and receiver. The system is effective in determining if an optical coating produces an authorized spectral response for determining if a product having that optical coating is authorized to be used with another product.
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 749.62K | Year: 2016
ABSTRACT: SIFT's Phase 2 Hy-CIRCA proposal builds on progress in Phase 1 to address the challenge of effectively, reliably, and safely tasking cooperating teams of autonomous cyber-physical systems (CPSs). SIFT's Playbook(tm) interface approach provides high-level, goal-based tasking for multi-agent autonomous missions. SIFT's Cooperative Intelligent Real-Time Control Architecture (CIRCA) automatically synthesizes correct-by-construction real-time, closed loop discrete controllers for multi-agent autonomous missions. To fully realize the potential of CIRCA and Playbook, we must extend them to handle CPSs with complex, nonlinear dynamics. Recently, Professor Ed Clarke's group at Carnegie-Mellon University (CMU) has developed a novel approach to verification of nonlinear hybrid systems. CMU's dReach/dReal system uses "delta-Complete" approximate reasoning methods to model check and verify hybrid system models including nonlinear constraints, ordinary differential equations (ODEs), and discrete dynamics. SIFT and CMU will team to build Hy-CIRCA, a system that will automatically synthesize and verify closed-loop hybrid controllers based on high-level mission specifications. Hy-CIRCA will incorporate advances in reasoning about hybrid non-linear systems, hierarchical task network planning, SMT solving, and controller synthesis.; BENEFIT: The Hy-CIRCA project has potential benefits in three areas: (1) assured mission control of teams of multiple autonomous systems, the direct topic of the proposal, through construction of the integrated Hy-CIRCA system; (2) improvements in the state of the art in hybrid (cyber-physical system) verification for non-linear systems through development of improved versions of CMU's dReach/dReal tool; (3) improved planning facilities through development of improved versions of the SHOP2 HTN planner. Commercialization opportunities include licensing the Hy-CIRCA software to space and defense contractors. Another route would be to integrare the Hy-CIRCA software into software design tool suites such as Matlab/Simulink, SCADE, ESTEREL, or Modelica.
SMART Technologies | Date: 2016-07-13
An adaptive noise quantification system and associated methods are disclosed for use in the dynamic biosignal analysis of a user. In at least one embodiment, the system includes a biosignal sensor positioned and configured for obtaining and transmitting data related to a select at least one vital of the user as a biosignal, and a motion sensor positioned and configured for obtaining and transmitting data related to a motion level of the user as a motion signal. A computing device is configured for receiving and processing the biosignal and motion signal.
SMART Technologies | Date: 2016-04-28
Systems, devices, and methods are provided for wirelessly communicating configuration data from mobile devices for use by interactive display devices. In some aspects, a processing device can identify two or more mobile devices participating in a session for utilizing an interactive display device. The processing device can receive configuration data from each of the mobile devices via a wireless transceiver. The processing device can configure an interactive display device to present outputs during the session using attributes that the processing device identifies from the received configuration data. In additional or alternative aspects, a processing device can identify at least one mobile device participating in a session for utilizing an interactive display device. The processing device can associate outputs presented by the interactive display device with an entity that is identifiable from configuration data that is received from the mobile device.
Agency: Cordis | Branch: H2020 | Program: SME-1 | Phase: SMEInst-10-2016-2017 | Award Amount: 71.43K | Year: 2017
9% of all EU freight (280 billion tonne-kilos) & 381 billion passenger km were travelled on EU rail networks in 2014. A railroad switch & crossing (point) is a mechanical installation enabling trains to be guided from one track to another. Point integrity is vital; there are on average 31 critical fastenings at each switch. Across the EU, SCF was responsible for 21 derailments between 2005-2010. Globally, SCF is responsible for 5.77% of all derailments (6th largest cause of derailments). SCF is a leading cause of signalling failure, leading to delays; 9.5 million minutes of passenger delays due to SCF occurred during the 2015/2016 audit period on the UK rail network alone. EU rail infrastructure owners are implementing intelligent infrastructure solutions across their rail networks that enable remote condition monitoring (RCM) & condition based maintenance (CBM) as a way of monitoring assets, such as points, to increase reliability & capacity of rail networks. To enable RCM & CBM, Smart Component Technologies (SCT) have developed their proprietary Smart Washer platform technology. Smart Washer 3 (SW3) is a washer containing a multitude of sensors that is deployed at critical fastenings at points to measure parameters (including clamp force & movement) from directly within the fastening. Through a connected Data Controller Unit (DCU), the measurements are fed in real-time to a cloud based server that interfaces with RCM software used by those responsible for the maintenance of rail tracks to remotely monitor the entire switch asset, as well as track bed stability (including voids & track geometry/inclination). Combined, the SW3 & DCU comprise the Smart Washer Ecosystem, which offers a full end-to-end solution for RCM & CBM; this will service the Rail infrastructure maintenance market, expected to be worth $5.8 billion in 2017. Conservative cumulative five-year sales of 3,500 installations gives sales of EUR 6.3 million, & a ROI to SCT of 600%.