The document describes a Safety Tracker solution that monitors factory employees. Sensors in protective gear like helmets and boots track if the gear is worn and send this data via WiFi to a supervisor's dashboard. If gear is removed in risky areas, the employee's helmet buzzes and their status on the dashboard turns red. The solution aims to improve safety through automatic monitoring and alerts. Next steps include minimizing sensor size, adding glove sensors, improving the device networking, and deploying the system on a public cloud.

1. Safety Tracker
An initiative towards ensuring safety of factory employees
Abhishek Das – abhishek.d@itcinfotech.com
Narendra Patil – narendra.patil@itcinfotech.com
Roshan Joseph– roshan.joseph@itcinfotech.com

2. Background
1. The news of factory employees falling victim to unforgiving work conditions has become a
regular column in our newspapers.
2. No matter what safety measures are taken, people are still falling prey to fast and heavy
machinery, high altitude environments, high voltage zones, et al.
3. Most of these events are a result of ignorance, lack of supervision and defiance.
4. Such events demanded actions; in the form of improvised supervision, automatic alert and
manual intimation systems.
5. Hence, we came up with an IoT solution, which facilitates these actions, even from remote
locations.
6. Sensor equipped gears networked with employees and supervisor(s) in-charge, presented in
a web-hosted dashboard is what our solution is all about.
7. Not only can employees be monitored at an individual level, but also can be intimated
whenever he takes out any of his protective gears, while working under high risk
conditions.

3. Operational Construction
1. Each employee is provided with sensor equipped
protective gears that talk to a gateway fitted into his
helmet over Wi-Fi.
2. This gateway is responsible for mapping him onto
the dashboard presented to his supervisor.
3. The status of each of his gear, be it his helmet,
glove or boot can be monitored from the
dashboard.
4. Removal of any such equipment immediately raises
an alarm in form of a red light within his zone.
Besides, his safety status is marked red in the
dashboard at the supervisor’s end, from where the
latter can turn the buzzer on, fitted at the former’s
helmet, as an intimation asking him to wear his
gear.

4. Solution Architecture
Raspberry Pi
Atomiton
TQL Engine
Employee
Avatar
Buzzer
Alert Light
Safety
Gears

5. Hardware Setup
Boot equipped with a
Pressure Sensor connected
to a Wi-Fi module
Helmet equipped with a
Buzzer and an IR Sensor
connected with a
Raspberry Pi fixed inside

6. Dashboard

7. Avatar – Safe Condition

8. Avatar – Unsafe Condition

9. Simulator – Safe Condition

10. Simulator – Unsafe Condition

11. Live Camera – Safe Condition

12. Live Camera – Unsafe Condition

13. Looking Forward
1. The biggest challenge that we faced was in miniaturizing the sensor setup for each
equipment so that there is no hindrance to wearing the equipment. We are working towards
further reducing their dimensions so that we have a final blueprint for bulk manufacturing
of these devices.
2. Till now, we have equipped the helmet and boot with sensors that can track the safety state.
We are planning on equipping the gloves too so that we cover all the three aspects of
ensuring safety of a plant worker, at a general level.
3. Integrating every device to Atomiton’s TQL Engine was also a challenge. Although we
fairly managed to make things work, we are looking forward to achieve a better model so
that we can scale out easily with increasing number of devices.
4. As of now, we have our solution running in our own premises. We are planning to have it
deployed over one of the public clouds – preferably as an Azure WebApp so that the scope
in not just restricted to the network in the factory.

14. Thank You.
Abhishek Das – abhishek.d@itcinfotech.com
Narendra Patil – narendra.patil@itcinfotech.com
Roshan Joseph– roshan.joseph@itcinfotech.com