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Zentnl Technology

A single tool for observation, data collection, analysis and reporting

Motion data is recorded using the sensor-equipped Zentnl shirt and communicated continuously in real-time to Zentnl’s cloud service.
Motion data is analyzed in Zentnl’s cloud service using algorithms and filtered through ISO standards.
Whole-body vibrations: Analyzed according to ISO 2631-1 standards.
Angles body and arm. Guidelines AMV. Analyzed to determine proper posture and ergonomics.
Shocks: Number of seconds exceeding a specified G-force threshold (3-6G and above).
Fall detection and immobility: Alarms are triggered using a custom-developed algorithm to detect falls and periods of immobility.
Based on the analysis, Zentnl generates statistical reports that can be filtered by month, week, or day, for production units, groups, or individuals.

Zentnlshirt – ZTorso

Easy to use and manage – no time wasted
Simply remove the shirt from the charger, put it on, and start using it. The Zentnl shirt is designed to be user-friendly throughout the entire work shift, whether you’re working indoors, underground in a mine, or outdoors in field operations.
After the work shift, hang the shirt on the charger or turn it off using the mobile app for washing. Once it’s dried, simply hang it back on the charger.
When the shirt is hung on the charger, it automatically starts battery charging and connects to the Zentnl Cloud Service, making it visible to the user and in the Zentnl Portal.
 

Integrated sensors

The sensors in the garment continuously record motion data up to 1,000 Hz in the x, y, and z axes. The communication unit collects the data and performs calculations on the garment, then sends it to the Zentnl cloud service via Wi-Fi.
Charging station
Wireless Qi-compatible charger
Charging time ~ 4 hours

 

Wireless communication central
Battery 2Ah sealed LiPo
Operation time ~14 hours
Communication – WiFi5, BT4, (LTE)

Edge

The network of interconnected sensors utilizes the new generation network with edge computing capabilities. This means that mathematical operations, AI-based analysis, and certain filtering are performed locally in the garment before the data is sent to the cloud service. By reducing the amount of data transmitted to the cloud, the shirt’s battery life is prolonged.

The Zentnl shirt is available in three different versions, tailored to various types of work environments.

The Zentnl shirt is available in three different versions, each suitable for specific work environments:
1. ISO 20471 High Visibility Class:
   – Classified with reflective properties.
   – Color: Yellow.
2. ISO 14116 Heat Flame Protection:
   – Designed to provide protection against heat and flames.
   – Color: Yellow.
3. Neutral Version:
   – Made from sport material consisting of 73% polyamide and 27% elastane.
   – Color: Gray.
The shirts are available in both men’s and women’s sizes, ranging from XS to XXXL.

Zentnl mobile app

The mobile app is used by the wearer of the shirt and is connected to the Zentnl cloud service. 
The app includes the following features:

My Data

The individual’s own unique motion statistics are presented, including exposure doses of whole-body vibrations, shocks, upper body angles, arm angles, and any incidents, on a daily, weekly, and monthly basis. These statistics can be tagged to different types of tasks.
The purpose of directing this data to the individual is to contribute to increased awareness of good and bad days. One single red day in a month may not be decisive for taking action by the work environment managers. However, if an individual has several recurring yellow and red exposures, it is important to investigate the specific individual’s tasks, work methods, equipment, and work environment more closely.

Man Down alarm

The incident reporting is linked to an automatic ManDown alarm system that, when triggered, escalates the alarm to other members in the designated alarm group the individual belongs to.

Status my shirts:

The mobile app provides real-time information about the garment, including battery status, connectivity quality, and motion data. 
Autopause
The app includes an autopause feature that allows users to pause the motion monitoring if needed. This feature can be customized according to the user’s preferences.
Laundry Mode 
The app also has a laundry mode feature that allows users to turn off the data streaming during the washing process, ensuring the garment is in the appropriate setting while being cleaned.

The Zentnl Portal App is designed for use by manned operations centers and work environment management.

Zentnl Portal is used by companies with manned control centers and by work environment managers dedicated to enhancing the work environment. This includes professionals in health, safety, ergonomics, and occupational health.
 The Portal app comprises three main components: Admin Function, Real-time Monitoring and reporting of long-term Statistics. 
In summary, Zentnl Portal serves as a central platform for managing and analyzing data, facilitating real-time monitoring, and generating meaningful insights for continuous improvement of the work environment.

Administrative functions

This section empowers administrators to manage user accounts, configure access permissions, and customize system settings according to their organization’s needs.

Monitoring – data in realtime

This feature enables real-time monitoring of data collected from Zentnl shirts, providing live updates on motion data, exposure levels, and any triggered incidents or alarms. It facilitates prompt response and intervention, ensuring a proactive approach to safety and well-being.
 
The incident reporting includes an automatic ManDown alarm that escalates to other members of the alarm group to which the triggerer belongs.
The alarm is triggered in the event of a potentially dangerous incident, characterized by an acceleration followed by a fall and subsequent immobility of 180 degrees, with the individual remaining still in a position over 60 degrees. These thresholds can be individually adjusted using Zentnl’s algorithms.
Real-time analysis of motion data during an incident is performed using a custom-developed algorithm that can be tailored to different professional roles and even to an individual’s movement patterns.
The alarm information is displayed in both the individuals’ mobile app and the Monitoring section of the Zentnl Portal, ensuring prompt awareness and response.
In the real-time view (Monitor) feature, an ergonomics specialist, utilizing the body-tracker function, can conduct initial remote risk assessments regarding an individual’s body angles, both for the upper body and arms, in a specific work task.
The initial real-time assessment can then be followed up, in consultation with the respective employee, by conducting a more comprehensive risk assessment using the report analysis feature in the Analytics section. This allows for the examination of exposure levels of arm and upper body angles over time, typically on a monthly basis.
By combining real-time assessments and in-depth analysis of exposure data, the ergonomics specialist can gain insights into the individual’s postures and movements, enabling a more comprehensive evaluation of potential risks and the implementation of appropriate measures for improvement.

Analytics – stats exposure doses

The Analytics functionality in the Zentnl Portal is designed for use by health, safety, and environmental professionals, as well as ergonomists. It provides comprehensive reports and statistics related to the movement profiles of all employees, highlighting instances of exceeding action values and limit values in various parameters.
The statistics include:
– Whole-body vibrations: Filtered according to ISO 2631-1 standards.
– Upper body angles and arm positions: Filtered based on established guidelines.
– Incident reporting: Shocks measured in seconds of G-force.
The statistics can be filtered based on different criteria, such as:
Applicable filters are 
– Timeframe: Monthly, weekly, daily.
– Production unit.
– Occupational category.
– Workgroup.
– Individual.
By applying these filters, users can gain insights into the movement profiles and exposure levels of employees, identify potential risks, and target specific areas for improvement in the work environment.

Detailed individual statistics

Detailed individual statistics are available both in the Zentnl mobile app and the Zentnl Portal. This allows individuals who wear the Zentnl shirt to have access to precise information about their daily measurement points, represented by green, yellow, or red circles or indicators.
The purpose of directing this data to the individual is to contribute to increased awareness of good and bad days. Having one red day in a month may not be sufficient grounds for intervention by work environment managers. However, if an individual experiences several recurring yellow and red exposures, it is important to investigate their specific tasks, work methods, equipment, and work environment more closely.
By providing individuals with this detailed information, they can gain a better understanding of their own exposure levels, identify patterns, and make informed decisions about their work habits, potentially leading to actions that promote a healthier and safer work environment.
Daily reports on vibrations and G-Forces 
The analyst can access detailed daily reports on whole-body vibrations, including RMS-max values, and shocks measured in seconds per G-force.
GDPR compliance is crucial, and internal procedures must be established within the company to determine which information each professional role is entitled to access. This is done with consideration for privacy legislation and GDPR (General Data Protection Regulation) requirements. Safeguarding data privacy and ensuring that access to sensitive information is granted only to authorized individuals is essential.

Zentnls AI-based platform is extendable

Based on Zentnl’s unique features, we see great potential to expand with more functions in consultation with our customers. For example:
Detection: Distance measurement between individuals and, among others, autonomous vehicles and heavy machinery.

External environmental variables: Measurement of harmful gases, magnetic fields, radiation, noise, etc.

Biometric analysis: Such as heart rate, temperature, integrated with devices like Fitbit or other wrist-worn pulse monitors.
What other features would your company be interested in?