Libelium today added new integration options from leading Cloud technology providers in the latest stage of the build-out of its Waspmote wireless sensor platform ecosystem, to reduce time to market for Internet of Things solutions.
Demos showcasing Waspmote and Plug & Sense! nodes integrated with software platforms from Axeda, Esri, ThingWorx as well as the MQTT protocol will be rolled out at Dreamforce 2013 in San Francisco at Smart City Expo World Congress in Barcelona, Spain and at the Internet of Things & WSN Conference in Santa Clara, California. The new Cloud connector framework is based on a new managing system for Libelium’sMeshlium wireless sensor gateway, allowing easy configuration of any of these platforms. Existing Meshlium users are eligible for the upgrade.
Libelium has simplified the integration of leading Cloud software platforms to its Waspmote wireless sensor network platform, decreasing time to market for new IoT solutions. “Waspmote is a universal hardware platform for the Internet of Things because it is open and modular, and can integrate any sensor, using any communication protocol, and send retrieved data to any Cloud system for analysis or storage,” said David Gascón, CTO at Libelium. “Now we’re offering access to the best Cloud software platforms by streamlining the integration process, to connect the physical world to the virtual world and transform sensor data into information resources.” Waspmote Cloud Connector Software Ecosystem Additions – available separately.
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Libelium has released a set of Encryption Libraries for Waspmote and Plug & Sense!™ sensor platforms in order to ensure the authentication, confidentiality (privacy) and integrity of the information gathered by the sensors. To do so different cryptography algorithms including AES 256 and RSA 1024 have been implemented in the libraries and released under an open source license.
Libelium has tested his sensor platform Waspmote in two of the most savage roller coasters of the world in the Port Aventura theme park (Spain). Waspmote integrates a powerful and accurate accelerometer to measure inertial forces up to +-8g on 3 axis (X, Y, Z) with output data rates up to 1kHz. The tests include 8 complete inversions at a max speed of 135km/h. Data is recorded in the internal SD card and sent via Wifi to a SmartPhone using an Adhoc connection. Read more.
The new RFID/NFC module for the Waspmote sensor platform completes the active tag technology driven by ZigBee with passive tag identification enabling the creation of complex Location Based Services (LBS) with just one device. The new radio module extends Waspmote features allowing the sensor data to be used in asset tracking, supply chain monitoring, intelligent shopping or access management. Read more.
The new e-Learning platform enables system integrators worldwide to accelerate time to market for ZigBee sensor network projects and applications. Commonly encountered engineering issues such as configuring the ZigBee network or connecting sensors to the Waspmote board will be solved in both modalities individual or group courses. Typical customer issues are easily solved by webinars with webcam and voice interaction between participants. In addition, source code files can be shared within a session enabling the teacher to modify and correct the code of the students in real time. Read more.
Libelium has published a new video showing the capabilities of the accelerometer integrated in Waspmote, specially suitable for applications regarding mobile and vehicular wireless sensor networks. This accelerometer can make up to 2560 measurements per second from -6g to +6g on the three axis (x,y,z). Values read are sent in real time to the gateway using the 802.15.4/ZigBee radio. See more videos here.
Libelium has launched a new video showing the capabilities of the Gases Sensor Board for the Waspmote platform. Some of the gas sensors which can be included in the board are Carbon Monoxide – CO, Carbon Dioxide – CO2, Oxygen – O2, Methane – CH4, Hydrogen – H2, Ammonia – NH3, Hydrogen Sulfide – H2S, Nitrogen Dioxide – NO2, Ozone – O3, Isobutane, Ethanol, Toluene, Hydrocarbons, VOC, temperature, humidity and atmospheric pressure. Values read are sent using the 802.15.4/ZigBee radio to the gateway what makes the system the perfect solution when implementing Wireless Sensor Networks to control gas levels and air quality.
More info here.