mEdge, Marlabs’ embedded IoT Edge accelerator platform can run on server grade hardware and facilitate cutting edge data aggregation and analytics, which are customizable for latency critical applications. These applications could be industrial controllers and volume data collection from remotely installed sensor clusters.
The platform’s cloud interacting module seamlessly works with IoT cloud platforms and IoT middleware platforms. It can be interfaced with Data Science platforms like mAdvsior, which is Marlabs in house innovation, driven by AI and Cognitive Computing.
mEdge enables computational algorithms to be run directly on the data that is streaming out from the machine. It can be optimized for manufacturing, asset monitoring and management, Logistics and supply chain applications. mEdge comes with built-in security modules implemented as per IIC ( Industrial Internet Consortium ), a global facilitator for Industrial IoT applications and research.
Marlab’s IoT Edge solution is hardware agnostic, supports industrial IoT protocols and it is highly scalable across edge devices. mEdge’s analytics is heuristic and empirical and employs data driven modules.
mMachine module embedded in mEdge is the software layer responsible for communicating with the industrial hardwares/components and IoT Cloud Applications and for running Edge analytics. mEdge’s cloud interacting module ( mMachine ) seamlessly works with IoT Cloud platforms and IoT Middleware platforms. It can be interfaced with Data Science platforms like mAdvisor through mMachine. mMachine enables communications over interfaces like LoRa, ZigBee, Bluetooth, Cellular, NB-IoT etc.
mEdge incorporates most modern tools like Node and is powered by Python programs for engineering analytics to accelerate time to market optimizations. It runs on server grade hardware platforms from industry leaders like Intel, Qualcomm and Texas Instruments.