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The Smart Clock – Mantra’s IoT Experiment.

IoT is emerging as a disruptive technology and is growing significantly, as consumers, businesses, and governments recognize the benefit of connecting inert devices to the internet.

With breakneck speed, the Internet of Things (IoT) has branched out of the B2B and industrial markets where its concept first took root and exploded into the consumer market in a major way. IoT extends beyond just “smart homes,” that can gather useful data and automate some of our everyday activities. It seems like almost every consumer device will be equipped with IoT connectivity. It joins sensors, devices, data and connectivity together to make the Internet a mesh of Things which can interact, exchange, act with intelligence and transfers data inside networks. Though it is still evolving but it’s promising and pragmatic applications are seen in all verticals, there are already a number of consumer products that use the IoT technology.

With companies joining this new epoch in technology, we also are building our “Smart Clock” (right now in prototype), which is inspired by Ingrein Clock (a kickstarted project).

For Quick Prototyping we started with readymade circuit boards Raspberry PI / Arduino / Particle.io,  including various sensors to have a fair idea about the components and modules required to build the final product . We also started minifying the board and breaking down the circuit to absolute components that are required in building Smart Clock. Before proceeding further let us know

  • What is Raspberry PI?
    It’s a mini computer with GPIO pins. The device is quite powerful and is able to run complete Operating Systems like Linux. It simplifies a lot of hardware and software specs altogether.
    We just need to connect any hardware module to the GPIO pins and then program Raspberry (in any language) though Python has a lot of libraries for raspberry.

The device will cost around 2-3K. One can get started using Raspberry PI soon.

  • What is Arduino?
    Arduino Board has a micro-controller and a set of digital and analog I/O pins to communicate with other hardware devices.
    Arduino is more hardware oriented since it does not come up with installed Operating System.Arduino also provides you its own programming development toolkit where you could submit your code and the software mounts the code to micro-controller. We do not have language choices here but one must know the basics of C++. We can turn this Arduino into any smart device we want to and we can use multiple sensors. Optimized-IMG_20160726_153747

While building this Smart Clock, we did couple of experiments on Raspberry PI and Arduino. For example, we face problem to check whether the meeting room is empty or not, for that we added PIR motion sensors to Raspberry PI and programmed it in Python.

The next task was to exchange data between Raspberry PI and server so one could get the status of the room from his mobile. We implemented Mqtt/Mosca for this (node.js). Now if there was any motion, the PI would send a message to the server and the same could be retrieved on the mobile. This was a simple exercise just to get started.

The next current task we are doing is trying to put minimal required components and sensors together to build a Smart Clock (expected to be changed). Optimized-IMG_20160726_154021

Mantra’s Smart Clock:
A smart clock could read your notification alerts and check other daily tasks.

Currently we have picked one feature that is the clock could tell whether someone from the family is about to arrive. For example at evening, if you are coming from office, as soon as you are near your home- around 200-400 metres away, the clock would notify about your incoming and hence someone at your home could start preparing beforehand whatever you want – food/snacks etc. The clock will be connected to internet and will come with an app that keeps pushing user state to the servers.IMG_20160726_153904

Smart Clock quick points:
– Connectivity: the clock will come with an app which will be used
to connect with clock using Bluetooth. The clock will be configured
using this app such as connecting it with internet and other basic
setttings.
– Currently we are only focusing on very few activities such as
notifying family members about activities such as notifying member is about to arrive ,
weather and app notifications

Prototype Technical Specification:

Connectivity: Bluetooth/Wifi
Sensors:          PIR motion detector
Board:             RaspberryPI/Arduino

The project is currently under progress. We are customizing the circuit board with lesser components, what are needed only.

For a complete updates on “Smart Clock” and other latest technology, approach Mantra Labs at hello@mantralabsglobal.com.

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Smart Manufacturing Dashboards: A Real-Time Guide for Data-Driven Ops

Smart Manufacturing starts with real-time visibility.

Manufacturing companies today generate data by the second through sensors, machines, ERP systems, and MES platforms. But without real-time insights, even the most advanced production lines are essentially flying blind.

Manufacturers are implementing real-time dashboards that serve as control towers for their daily operations, enabling them to shift from reactive to proactive decision-making. These tools are essential to the evolution of Smart Manufacturing, where connected systems, automation, and intelligent analytics come together to drive measurable impact.

Data is available, but what’s missing is timely action.

For many plant leaders and COOs, one challenge persists: operational data is dispersed throughout systems, delayed, or hidden in spreadsheets. And this delay turns into a liability.

Real-time dashboards help uncover critical answers:

  • What caused downtime during last night’s shift?
  • Was there a delay in maintenance response?
  • Did a specific inventory threshold trigger a quality issue?

By converting raw inputs into real-time manufacturing analytics, dashboards make operational intelligence accessible to operators, supervisors, and leadership alike, enabling teams to anticipate problems rather than react to them.

1. Why Static Reports Fall Short

  • Reports often arrive late—after downtime, delays, or defects have occurred.
  • Disconnected data across ERP, MES, and sensors limits cross-functional insights.
  • Static formats lack embedded logic for proactive decision support.

2. What Real-Time Dashboards Enable

Line performance and downtime trends
Track OEE in real time and identify underperforming lines.

Predictive maintenance alerts
Utilize historical and sensor data to identify potential part failures in advance.

Inventory heat maps & reorder thresholds
Anticipate stockouts or overstocks based on dynamic reorder points.

Quality metrics linked to operator actions
Isolate shifts or procedures correlated with spikes in defects or rework.

These insights allow production teams to drive day-to-day operations in line with Smart Manufacturing principles.

3. Dashboards That Drive Action

Role-based dashboards
Dashboards can be configured for machine operators, shift supervisors, and plant managers, each with a tailored view of KPIs.

Embedded alerts and nudges
Real-time prompts, like “Line 4 below efficiency threshold for 15+ minutes,” reduce response times and minimize disruptions.

Cross-functional drill-downs
Teams can identify root causes more quickly because users can move from plant-wide overviews to detailed machine-level data in seconds.

4. What Powers These Dashboards

Data lakehouse integration
Unified access to ERP, MES, IoT sensor, and QA systems—ensuring reliable and timely manufacturing analytics.

ETL pipelines
Real-time data ingestion from high-frequency sources with minimal latency.

Visualization tools
Custom builds using Power BI, or customized solutions designed for frontline usability and operational impact.

Smart Manufacturing in Action: Reducing Market Response Time from 48 Hours to 30 Minutes

Mantra Labs partnered with a North American die-casting manufacturer to unify its operational data into a real-time dashboard. Fragmented data, manual reporting, delayed pricing decisions, and inconsistent data quality hindered operational efficiency and strategic decision-making.

Tech Enablement:

  • Centralized Data Hub with real-time access to critical business insights.
  • Automated report generation with data ingestion and processing.
  • Accurate price modeling with real-time visibility into metal price trends, cost impacts, and customer-specific pricing scenarios. 
  • Proactive market analysis with intuitive Power BI dashboards and reports.

Business Outcomes:

  • Faster response to machine alerts
  • Quality incidents traced to specific operator workflows
  • 4X faster access to insights led to improved inventory optimization.

As this case shows, real-time dashboards are not just operational tools—they’re strategic enablers. 

(Learn More: Powering the Future of Metal Manufacturing with Data Engineering)

Key Takeaways: Smart Manufacturing Dashboards at a Glance

AspectWhat You Should Know
1. Why Static Reports Fall ShortDelayed insights after issues occur
Disconnected systems (ERP, MES, sensors)
No real-time alerts or embedded decision logic
2. What Real-Time Dashboards EnableTrack OEE and downtime in real-time
Predictive maintenance using sensor data
Dynamic inventory heat maps
Quality linked to operators
3. Dashboards That Drive ActionRole-based views (operator to CEO)
Embedded alerts like “Line 4 down for 15+ mins”
Drilldowns from plant-level to machine-level
4. What Powers These DashboardsUnified Data Lakehouse (ERP + IoT + MES)
Real-time ETL pipelines
Power BI or custom dashboards built for frontline usability

Conclusion

Smart Manufacturing dashboards aren’t just analytics tools—they’re productivity engines. Dashboards that deliver real-time insight empower frontline teams to make faster, better decisions—whether it’s adjusting production schedules, triggering preventive maintenance, or responding to inventory fluctuations.

Explore how Mantra Labs can help you unlock operations intelligence that’s actually usable.

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