Zan Compute provides Zanitor, an Artificial Intelligence (AI) based facility maintenance platform with advanced sensing and machine learning that better suits the needs of property owners, managers, service providers and occupants. Zan’s solution is a mobile/cloud-based solution that focuses on automating the custodial process through AI. The platform allows facility managers and building service providers to track real time cleaning incidents and maintain quality of service in an easy, efficient and cost-effective manner.
Zan Compute’s smart & wireless sensors retrofit any existing dispensers and eliminate any need for infrastructure changes. They measure and securely send data on any consumable: ranging from toilet paper, paper towels, trash can garbage levels, water faucets for usage and leaks, soap levels, hand sanitizer levels and material inventory. The data is sent to the Zan cloud using state-of-the-art encryption protecting the data-in-motion.
Based on radar technology, ZanWave is a privacy aware occupancy sensor (not a camera). It tracks occupancy, usage and traffic in all common areas of a facility, including restrooms and drives data driven cleaning.
Enables proper utilization of labor for cleaning and disinfecting the common areas based on usage, resulting in labor savings of 20 to 30 percent.
Exceptional user experience for building occupants- reducing customer complaints by 70 to 80 percent.
Reduces material wastage by 40 to 50 percent.
Zan’s system is also a very cost effective solution with pay back period of 8 to 10 months with its savings.
Improve the user experience by engaging the building occupants to understand their experience and pain points while using the building amenities. The system includes real time notification to the cleaning crew to attend to the customer complaints and trend analysis using Zan’s powerful AI platform to understand any chronic issues.
Zan Compute, an Artificial Intelligence (AI) and Internet of Things (IOT) company has
developed a smart monitoring system with focus on optimizing
janitorial services and floor space utilization. Zan’s smart building IoT solutions
technology has been proven in the field of
facilities
management
with over 20,000 sensors deployed in production at various facilities including commercial
office buildings, airports, and health care facilities.
Zan compute has over 7 years of experience delivering machine learning based solutions and
helping its clients and owners exceed their goals for
customer satisfaction and achieving a return on investment in less than 12 months after
deployment, mainly by optimizing labor utilization, reducing
material waste, and reducing energy consumption. Zan's solution covers the entire building
including common areas like conference rooms, lobby etc.
to provide a comprehensive view of the end-to-end cleaning process.
One of the key components of Zan’s solution is ZanWave, a radar based
occupancy tracking / traffic monitoring sensor- that can be used in all the common
areas and open spaces in a building to collect occupancy/usage data and drive cleaning
requirements based on AI. ZanWave is privacy protecting and can
sense through the ceiling and it measures occupancy accurately. It is a millimeter wave
radar-based people sensor. No images or personal information will
be collected. The sensor can monitor a zone of up to ~1000 sq ft to detect occupancy and
bi-directional traffic flow to 95% accuracy.
The sensor can be installed at every entrance either immediately below or within the ceiling
as appropriate for the specific configuration of the target area.
Large common areas may require multiple ZanWaves for complete monitoring. This is a powered
sensor that uses POE as the power source.
This drives Zan’s AI-powered data analytics engine to combine it with other data in all
areas, including trash and consumables data to predict the
cleaning requirements driving just-in-time cleaning and facility management.
Sensors play a key role in the cleaning process of building operations and access control
systems, features like density / traffic estimation in restrooms
/ common areas, monitoring cleaning tasks and compliance become critical. These are key
inputs to data driven cleaning and disinfection processes, which
define the right type of cleaning needed in the right area at the right time.
Expectations of rest room cleanliness and user experience are rising while the labor to
perform essential servicing is becoming more expensive and harder
to find. Responsible material and waste management is more important than ever,
unsustainable consumption is no longer acceptable. We believe these challenges
are best solved with innovation, primarily by automating functions of providing service and
reducing waste.
Additionally, COVID-19 has put cleaning and disinfection to be the front and center of
facility maintenance. While the cleaning industry is crafting new
processes and implementation strategies, it is important to consider the technology
solutions that will make those processes more efficient and effective.
Ultimately the goal will be to provide the safest environment and lowest operating costs for
building owners and tenants.
Our technology provides you with best insights into your facility's usage and people traffic
to reduce your material wastage and carbon footprint, and save
on labor costs by transforming your custodial and maintenance servicing to be data-driven
and AI powered.
Hospitals and medical care providers are seeing the need to enforce and monitor compliance
with hand hygiene and sanitisation across all medical and
support staff before they come into contact with patients. They are turning to Smart
Building IoT solutions and AI smart monitoring systems to address
this need.
Cleaning Transparency
Zan's smart restroom technology is a building management system that provides transparency
and efficiency to the cleaning process, what we call Cleansparency,
and a sense of security to the building occupants during the post COVID reopening. By
engaging the building occupants, we also boost the overall user experience.
The key concerns are hygiene and social distancing. Cleansparency, aided by Zan’s AI
platform and smart sensors, provides peace of mind to the building occupants
by providing details of cleaning and disinfection in a given area. Cleansparency
also provides the necessary data like real time occupancy to enable responsible
social distancing.
The building occupants do not need an app, they can scan the QR code with their smartphone
camera to access the web portal via wi-fi or internet. The system
includes real time notification to the cleaning crew to attend to customer complaints and
trend analysis using Zan’s powerful AI platform to understand any
chronic issues.
Zan's solution learns by itself using customer and janitor feedback. Zan has multiple
methods for collecting user feedback- including displays that can be
installed at appropriate locations and QR codes that can be scanned with their phones to
provide feedback. The displays and QR codes can also provide occupancy
information- with “Safe to Enter” indicators. All these features are in production, deployed
at various facilities and providing benefits to its customers.
When all relevant data points are monitored in real-time, the facility manager can allocate
necessary resources to maintain a high QoS on a
just-in-time basis. If the above data was presented raw, it would be insufficient for
decision-making. The final pieces needed to create a
system that provides meaningful results are machine learning and AI processing. Machine
learning will continually detect patterns in and changes
to the above factors to provide better recommendations and optimizations. AI automates the
data processing and decision-making process to provide
real-time meaningful and actionable information.
We are also providing you the ability to track janitors when they are at the restroom
performing their job in line with their work schedule.
We use beacon and scanner technology to determine when the janitor was in a particular rest
room and how long they spent in that rest room. Also,
for compliance purposes, if the janitor has to be in a restroom for a specific amount of
time, our reports provide you with the ability to compare
actual time spent cleaning the restroom versus the time required to be spent.
A smart monitoring system is a solution involving multiple sensors that can capture data and share it with a central computer; it can also receive instructions from the central computer and act accordingly
System monitoring refers to the tracking of a particular activity or event without any need for human intervention after the initial setup. IoT smart building management systems monitor events without using cameras or other such privacy invading equipment.
Smart building IoT solutions technology involves the use of sensors which collect and transfer building related data over a wireless network without human intervention.
There are several use cases already for IoT smart building management and they are still evolving. The popular smart building automation systems address needs around energy management, energy efficiency, HVAC, temperature control, lighting control, fire detection, water leaks detection, parking availability detection etc.
Occupancy tracking devices, energy management systems, queue management, safe distancing, toilet consumables level tracking, cleanliness level tracking, asset management etc. are some examples of smart building IoT solutions.
IoT building automation system automates the centralized control of a building's Heating, Ventilation and Air-conditioning (HVAC), electrical, lighting, Access Control, Security Systems, and other interrelated systems. Smart buildings have various smart objects (e.g. smart bulbs, smart switches, smart meters) which communicate with each other, share information, and coordinate their actions according to the environment where they are deployed. Smart monitoring systems monitor the performance of smart objects with the help of machine learning techniques. Smart restroom technology solutions combine the capabilities of IoT building automation and smart monitoring systems.