KALViCK® KeBeacon™ - Knowledge Enabled Beacon - pronounced as "Key Beacon" , Cognitive Internet of Things Platform, Delivers Intelligent, Integrated & Distributed Services with IoT Gateway Software of Open Standards [based on OMA LightweightM2M (LWM2M), CoAP (Constrained Application Protocol), SmartM2M, Message Queuing Telemetry Transport (MQTT), AQMP, LoRA, LoRaWAN (LPWAN), Wi-Fi, GPRS, BLE, NFC, ZigBee, SRF, SPI or I2C, OAuth2, SAML2 SSO, XACML PDP, LDAP, REST interfaces for Backend Server and Data Integration (CouchDB, MongoDB,Cassandra, Hadoop, Spark)] that facilitates Unification of disparate Things', Devices', Sensors', Actuators' inter-communication, logic and applications at every layer of IoT Infrastructure into a structured and adaptable real-time data model, connectivity Up to the Cloud / Enterprises and Down to Sensors, Controllers, Preprocess filtering of selected Data for Delivery, Intelligent Decision making, with easy connectivity, encryption, security and Local Computing for in-device & predictive analytics - Enterprise Stack.
Industrial IoT Sub-System addresses machine-to-machine (M2M) communications where machines interact and communicate with other machines, objects, environments and infrastructures. These communications' data are being intelligently generated, and that data is being processed and analyzed, resulting in meaningful and timely actions for management and control.
Industrial machinery operations experiences constant shock and vibration, which inturn results in fatigue and wear on materials and components, resulting in Imprecision and eventually system failure.
Forecasting potential problems, implementing preventive measures and maintenance or equipment replacement, which are critical to sustain performance and avoid downtime and costly damage.
Using accelerometer and tachometer, Temperature and voltage readings are often used to diagnose machine health. Adaptive Predictive Analysis of such data can increase productivity and enhance operational efficiency.
Information acquired through front-end sensors such as thermocouples and other analog detectors can be instantly analyzed, enabling prompt remote management of factory equipment, preventing or minimizing unwanted downtime.
Automotive Vehicle data from onboard devices and sensors such as speed and fuel usage are collected in order to optimize fuel economy and schedule maintenance. Similarly IP surveillance systems can be implemented in-vehicle to enhance driver and passenger safety, and combined with vehicle positioning data provided by GPS, delivering real-time driving information or Driver Profiling to the control center.
Safe, Aware, and compelling driving experience with touchscreen on the dashboard interfaces with the driver information system (DIS) navigation. The eServices for telematics allows the driver to take advantage of state of-the-art functions and services such as voice recognition, smartphone remote start, stolen vehicle location tracking as well as access to the Internet.
The backseat display for passengers also supports various video formats such as MPEG1/2/4, WMV9, Divx4/5/6, Xvid and H264, and excellent 3-D graphic performance and Bluetooth. These enhancements allow passengers to enjoy rich multimedia with premium sound on a wide screen.
Intelligent Transportation System, Fleet Management and Telematics, Logistics and Supply Chain use cases are also supported.
Smart Buildings are streamlining Operational Processes with IoT to gather analyze share data and act on data-driven Intelligence. Key Components of a smartbuilding include Energy, HVAC, maintenance, security, safety and communications adn in detail viz.