Monitoring the environmental conditions of a storage warehouse varies according to the products stored read more
Validating the shipments temperature condition, with regulations regarding the transportation of merchandise read more
Temperature and other sensor driven monitoring are key elements of industrial production processes. Safety, quality, machinery lif/maintenance and yield-efficiency have been shown to improve by regular data monitoring and analytics. read more
An environmental monitoring system is the process that monitors the environment temperature, humidity etc. read more
bpro labs develops a wide range of prototype hardware and software bundled products, with access to necessary disciplines required to complete end-to-end Prototype Development. read more
The applications of the IoT typically use sensors to assist in environmental protection by monitoring air or water quality, atmospheric or soil conditions and can even include areas like monitoring the movements of wildlife and their habitats. Let our DSIR recognized R&D facility help you develop your solutions for the future. read more
Quickly begin automating enterprise processes. Use our ready automation workflows and help in building customs workflows for the enterprise needs. read more
Real-time monitoring ups the ante by providing a continuous low-latency stream of relevant and current data from which administrators can immediately identify serious problems. Alerts can be more quickly routed to appropriate staff -- or even to automated systems -- for mitigation. By tracking real-time monitoring data over time, organizations can reveal and predict trends and performance.
A monitoring system is a set of software components that performs measurements and collects, stores, and interprets the monitored data. The system is optimized for efficient storage and prompt retrieval of monitoring metrics for visual inspection of timeseries as well as data point analysis for the purposes of alerting.
Monitoring has become an umbrella term whose meaning strongly depends on the context. Most broadly, it refers to the process of becoming aware of the state of a system. This is done in two ways, proactive and reactive. The former involves watching visual indicators, such as timeseries and dashboards, and is sometimes what administrators mean by monitoring. The latter involves automated ways to deliver notifications to operators in order to bring to their attention a grave change in system’s state; this is usually referred to as alerting.
Data Analytics is a statistical tool to collect and analyze the data which are generated from a sensor in real-time. This data can be created by wired sensors or wireless sensors. The most important goal of sensor data analytics is to detect anomalies and these real-time data can be used for various applications. Failure in machine in manufacturing or increasing patient’s blood pressure drops in healthcare can be monitored easily and could be prevented from serious negative outcome. As the market of Big Data analytics are increasing and new sensors are coming into picture, the analysis of real time data becomes very important and thus, the global market for sensor data analytics is predicted to grow at very rapid pace.
An alarm is a piece of configuration describing a system’s change in state, most typically a highly undesirable one, through fluctuations of data points in a timeseries. Alarms are made up of metric monitors and date-time evaluations and may optionally nest other alarms.
An alert is a notification of a potential problem, which can take one or more of the following forms: email, SMS etc. An alert is issued by an alarm when the system transitions through some threshold, and this threshold breach is detected by a monitor.
Monitoring software captures the use of applications and programs on the monitored workstation. The onscreen user activities are maintained in a log with each actions. This ensures that Applciation data remains secure and the employees are performing their assigned tasks efficiently.
The existing offerings portfolio includes ready-to-use cloud and desktop B.Pro monitoring software and custom-made hardware products like data loggers and high-quality IoT sensors for various applications in industries like pharma/biotech, food industry, agriculture, logistics, aerospace and other relevant fields where continuous and accurate monitoring is required.
Log everyday data, provide hardware and cloud based analytics for preventive maintenance and intelligent decision making.
To build robust technological products capable of providing intelligent analytics using simple, easy-to-use IoT data loggers, cloud and desktop applications for monitoring and decision-support.