Mojix Uses Hadoop-based Big Data Analytics For RFID

Los Angeles-based Mojix has recently revolutionized the RFID space as a result of applying deep space signal processing technology communications to the commercial RFID industry. Mojix’s STAR 3000 technology can pick up signals from RFID tags as much as 600 feet away from a sensing device, which represents a twenty fold improvement over existing systems. The unprecedented quality of its ability to track merchandise at long distances gives customers a correspondingly unique ability to track the location and trajectory of their products. Moreover, the Mojix Star 3000 technology boasts a “cloud-based hosted server, enabling users to deploy a system at a lower cost by eliminating the need to acquire software,” in addition to cloud and virtualization options that empower customers to track their assets at multiple locations within the supply chain.

Prior to founding Mojix, the company’s CEO, Dr. Ramin Sadr, led a team of NASA scientists working on problems in deep space communications involving the creation of NASA receivers and the capture of telemetry data from the Galileo spacecraft mission. After leaving NASA, Dr. Sadr extended his work in wireless communications to RFID and founded Mojix to deliver RFID solutions to customers in the automotive, distribution, manufacturing, oil & gas and retail verticals. In addition to tracking the location of customer merchandise, Mojix’s big data analytics unlock operational and strategic insights about the distribution and supply chain experience of the assets of its customers, more generally.

Mojix’s deployment of Big Data technology represents a use case regarding the application of Big Data separate and distinct from the common big data use case of mining massive amounts of structured and unstructured web related data. Mojix’s big data technology tracks the movement, in real-time, of millions of pieces of merchandise across supply chains in different verticals. CEO Dr. Ramin Sadr elaborated on the company’s use of Big Data in an interview with Cloud Computing Today as follows:

“Big Data powered by Mojix’s wide area RFID reader network provides an unparalleled level of performance, enterprise wide, in terms of visibility, traceability, storage and streaming capacity, advanced visualization and data mining. Mojix’s approach is centered around a Big Data computational platform, running within the Hadoop framework, to scale as a customer’s demand grows over time by rolling out heterogeneous sensor networks, ranging from passive RFID and sensor networks to GPS and smartphones, driving the next evolution of the ‘Internet-of-Things’.”

Dr. Sadr reveals that Mojix embraced a Hadoop-based “Big Data computational platform” that enables “advanced visualization and data mining.” Each Hadoop cluster is designed to scale as the volume of merchandise multiplies, and the number and type of sensors attached to each unit increases. Resulting analytics provide enterprises with a high degree of visibility into the location and behavior of their products that can easily be amplified as more data, of different varieties, is collected and funneled into Mojix’s Hadoop-based big data platform. Moreover, customers have the option of transferring their RFID data to their own data warehouse to run internal analytics as desired.

Mojix’s Big Data technology platform and analytics positions it on the cusp of the big data revolution in terms of delivering strategic insights to customers of the highest quality. The innovation of Mojix Star 3000 involves not only its ability to detect merchandise at longer distances than are common in RFID, but also its capability to mine and produce meaningful operational analytics on the data that it collects. Expect to hear more details about Mojix’s innovative use of Hadoop and its data analytics platform in the coming months as its innovative hardware consolidates its footprint in the RFID industry.