Tailored AI for Industry Insights
Smart City
Pedestrian tracking
As a core model, the solution will allow for counting and tracking all pedestrians that cross various access points and track flow with direction and time of day. This allows city planners to create pedestrian routes that are safe and well-orchestrated with signal lights and traffic flow. (several add-ons available like age, gender, object identification for strollers, baggage, wheelchairs, loitering, speed of walking/flow, etc.)
Traffic monitoring
As a core model, the solution will allow for counting of traffic vehicles that cross various access points and track flow with direction and time of day. This allows city planners to optimize the traffic lighting system to ensure real time management of traffic flow, creating less congestion and gridlock. (several add-ons available like license plate monitoring, make and model of vehicle, wrong way drivers, and abandoned vehicles, etc.)
Crash detection
With vehicles to vehicles, vehicles with pedestrians and vehicles to bicycles- this core model detects when a crash has happened with various V2X accidents (additional add-ons include integration to first responders and or police).
Transit management
As a core model, the solution can track passengers both on the transit for real-time capacity management, as well as those passengers waiting to board a train or bus. This data allows operators to improve on times for arrival, busiest times of usage and estimated wait times for arriving transit. (several add-ons available like , etc.)
Bike lane management
(Several add-ons available like near miss detection (V2B), crash detection, wrong way detection, etc.)
Asset tracking & Device health
(Several add-ons available like geofencing, asset health, operation functions, location tracking, etc.)
Curb management
(Several add-ons available like brand recognition, time violation, license plate recognition, driver identification)
Wildlife track
As a core model, the solution will allow for identification of wildlife type and tracking of wildlife that cross various access points on the roads. This can provide US Wildlife and departments of transportation with migration patterns that can be used to communicate via smart digital signs the patterns and crossings of wildlife, leading to less vehicle to wildlife accidents. (several add-ons available like specific animal type, size of migration pack or group, trajectory of migration group, etc.)
Smoke & fire detection
As a core model, the solution will detect white and or dark smoke that is seen through existing CCTV cameras. This allows for early detection of possible wildfires or fugitive emissions due to illegal burning. (several add-ons available like size of smoke, predicted size of fire, integration to 911 and fire and rescue).
Stolen vehicle detection
As a core model, this solution will detect a license plate which can be used to detect if a vehicle is stolen. (additional add-ons include vehicle make, model, direction traveling and integration to stolen vehicle database/police response).
Digital twin
As a core model, the digital twin provides a virtual rendering of the physical city or infrastructure. With real-time data, the city can plan for new traffic lanes, new pedestrian routes and new bike routes that safely deliver residents to their destination in the most efficient manner. Digital Twin can also provide planning for new businesses and or factories based on things like pedestrian demographics, and noise pollution.
Weapon and gunshot detection
This core model provides the ability to recognize and detect a gun in plain sight or the sound of a gunshot nearby. This allows police to react quickly to a potential public shooter.
Retail
Shopper tracking
This core model tracks the movements and areas that shoppers frequent in a store. This allows retailers to better plan their store layout to better serve their shopper needs. This also allows for better advertising both in store and on a mobile app to attract purchases with real time offers. (several add-ons available like shopper gender, age and other object identifiers like shopping bags, strollers, and products in hand).
Theft mitigation
This core model tracks the situation of individuals or groups of people running inside a store that isn’t warranted. This could quickly notify 911 and or security that a possible ‘smash and grab’ robbery is in place. (several add-ons available like identification of masks, hoodies, covered faces, groupings of individuals and even fights between individuals).
Retail inventory monitoring
This core model identifies when shelves are empty and which products they are. (several add-ons available including integration to ERP systems, operations notification when shelves are empty, digital offerings of other products when products become unavailable).
Buying patterns
This core model integrates with CRM data and reward apps on phones to help retail understand the propensity of other purchases that compliment or align with past purchases. Providing the consumer with a quick view of possible deals and products that go with past purchases.
Realtime advertisement
This core model integrates with shopper movement, the shopper rewards mobile app and product offerings. This allows retailers to instantly push sales or advertisement to shoppers for instant savings or additional product information. Enabling ‘buy-now’ and pick up later or ship to capabilities.
Queue management
This core model tracks the size and estimated time for queues at a register so that retailers and shoppers know how long it is to wait for an item, check out or to get into the establishment. This allows retailers to offer other options to customers waiting to get in, check out or purchase an item. Options like mobile purchase, buy now and pick up later or buy now and have shipped later (additional add-ons available like gender, length of standing, sitting or lying down, integration to mobile and alerts, integration to POS systems.).
Airports
Passeneger tracking
Tracking flow and volume of passengers to help monitor and plan infrastructure, amenities, and retail accordingly.
Facilities management
This core capabilities provides real time tracking and predictive analysis of maintenance or cleaning needed for bathrooms and open space areas. This provides airlines with the ability to track bathroom supplies, predict optimal cleaning schedules, identify pairs of people entering into a bathroom like a child and adult, detect the number of luggage bags entering into a bathroom, etc.)
Asset tracking
This core model integrates to smart packs and smart medicine cabinets or carts to detect adherence to drug usage, administration, and tracking. This allows clinics, pharmacies, drug providers and hospital operating rooms the ability to maintain strict tracking, distribution, and disposal of drugs from the time they are received to the time they are administered or disposed of. This also allows for easy identification of drugs that have been expired or have recalls.
Healthcare
Patient monitoring
This core model integrates sound detection and asset tracking wearable to monitor what is happening inside a patientsroom that can alert medical personnel for assistance. Loud noises, fall detection can be easily tracked inside a patients room.
Hospital check-in
This core model integrates asset tracking wearables and machine embedded IoT devices to help predict the time in and out of the hospital and adherence to check in and check out protocols and times. This allows hospitals and clinics to measure the time spent truly in and out of the facility and the turnaround time for available bed space.
Medication tracking
This core model integrates to smart packs and smart medicine cabinets or carts to detect adherence to drug usage, administration, and tracking. This allows clinics, pharmacies, drug providers and hospital operating rooms the ability to maintain strict tracking, distribution, and disposal of drugs from the time they are received to the time they are administered or disposed of. This also allows for easy identification of drugs that have been expired or have recalls.
Waiting room monitoring
This core model detects how long patients have been waiting to be seen and provides insights into queues in a waiting room. (additional add-ons available like fallen or lying down patient, fights, coughing or sneezing through sound detection and integration to alerts and notifications to staff).
Building maintenance
This core model tracks patterns of people throughout the facility providing a ‘heat map’ of where people are most visiting and giving maintenance crews the high traffic areas that might need additional attention for cleaning, sterilization, or replenishment of supplies like bathroom supplies or needing attention to clean.
Asset tracking
This core model tracks key equipment not in use and location for clinics and hospital personnel to know what is available for use and treatment (additional add-ons include geo-fencing and alerts for high value equipment leaving a specified location, asset in use or at rest metrics, asset health and predictive maintenance of asset.)
Smart Campus
Smart Security Systems
Our AI software can be used in conjunction with existing campus security systems to enhance campus safety by analyzing surveillance footage in real-time to detect unusual activities or potential threats. Our software can also use facial recognition to identify unauthorized individuals on campus, monitor crowds and even identify fights or loitering.
Predictive Maintenance
Our AI algorithms can analyze data from sensors installed in campus infrastructure such as buildings, HVAC systems, and utilities to predict when maintenance is needed. This proactive approach can prevent unexpected breakdowns and save on repair costs.
Personalized Learning
Our AI-driven software can work with educational platforms to provide personalized learning experiences for students by analyzing
their learning styles, preferences, and performance data. This can include recommending relevant courses, resources, and study materials tailored to each student's needs.
Smart Transportation
Our AI software can optimize campus transportation systems by analyzing traffic patterns, student schedules, and real-time data to improve the efficiency of bus routes and parking management. This can reduce congestion, waiting times, and carbon emissions.
Smart Campus Navigation
AI-powered navigation systems can help students and visitors navigate the campus more efficiently, providing real-time directions and
information about points of interest, events, and facilities.
Smart Libraries and Resource Centers
AI can enhance library services by
assisting with tasks such as cataloging, recommending relevant resources, and
providing virtual assistance to users. AI-powered chatbots can also help students
with research inquiries and locating materials.
Oil and Gas or Industrial
Fugitive gas emission
Monitoring to track smoke for burn-off issues, no-flame detection, and methane gas and liquid leak tracking.
Regulatory & EPA Form automation
This core capability allows for the automation of forms in areas of reporting data or metrics on the physical plant. This reduces the amount of truck-rolls to physical plants that can now be delivered wirelessly and with the use of AI, auto populate forms and submissions for compliance, thereby reducing late submissions, compliance violations and labor intensive processing.
Site security
This core model detects the movement of people and or vehicles within the boundaries of a site or facility. This provides operators with the ability to get notified if there is a breach of location either by a person or an unidentified vehicle. (additional add-ons include geofencing of assets and facility boarders, identification of make and model of vehicles, brand identification, gender and facial recognition).
PPE Detection
This core model detects when a work is not wearing a hard hat, goggles or safety vest which is a safety violation (additional add-ons include facial recognition, detection into geo-fenced or prohibited locations, integration to active directory and alert or notification communication).
Asset monitoring & Sound detection
This core model utilizes data from smart devices including decibel tracking to determine if a site is experiencing a disaster or explosion. This also allows operators the ability to detect failed equipment and predictive maintenance.
Machine monitoring & Optimization
This core model uses AI to detect the patterns in velocity, vibration and machine health. It allows production operators in manufacturing to optimize each machine to produced at the highest level of production, based on predictable patterns, health monitoring of machines and propensity for downtime. (additional add-ons include conveyor belt monitoring, materials counting, foreign object detection and spill detection, etc.).
Abandoned machine
This core model identifies when expensive equipment or mobile equipment is abandoned by the operator. This allows operations to monitor adherence to oversight of equipment and or prevent potential catastrophe in high value plant operations.
Air quality monitoring
This core model identifies when CO2 levels are breached with hazardous toxins, temperature breaches and or smoke detection. This provides additional communication with alerts and notifications to operations and first responders.
Digital Twin
Smart Manufacturing and Green Buildings
Using our Digital Twin technology, we can optimize space using our 3D virtual environment. Plan a large space for sustainability in energy and reduction of carbon footprint, Communication and connectivity to smart machines and most importantly, security and cyber threat readiness. Design with zero carbon footprint and energy optimization first.
Digital Twin Cyber Security
Our Digital Twin can help in creating cyber security models in a virtual and safe environment before promoting to the ‘real’ physical environment. This allows for cyber security testing for all ‘what-if’ scenarios when breaching security. Digital Twins provide additional security through remote management of assets and integration to physical sensors, devices, and assets. Any hardware asset that is compromised can be removed from the environment immediately before any other assets are compromised.
Digital Twin Smart City Planning
City planners use our Digital Twin to plan new routes for pedestrians, traffic patterns and bicycles before lanes are created. Building developers can use data to plan for the least intrusive and most effective means to create new development, taking into account the surrounding environment. Noise detection, air quality, and energy efficiency can be planned using a digital twin to create the most sustainable and least impactful to the environment possible.
Manufacturing
Asset tracking
IoT sensors can be placed on assets such as inventory, equipment, and vehicles to track their location, condition, and usage. This can help warehouse managers optimize asset utilization, prevent loss and theft, and reduce maintenance costs.
Environmental monitoring
IoT sensors can monitor temperature, humidity, and other environmental conditions in the warehouse to ensure optimal storage conditions for products. This can prevent spoilage, damage, and waste of inventory.
Predictive maintenance
IoT sensors can monitor equipment and
machinery in the warehouse and predict when maintenance is needed before a breakdown occurs. This can reduce downtime, increase
equipment lifespan, and prevent costly repairs.
Automated inventory management
IoT sensors and smart cameras can automate inventory management by tracking inventory levels in real-time and alerting warehouse managers when inventory levels are low or when it's time to restock. This can reduce stockouts, prevent overstocking, and optimize inventory levels.
Safety and security
IoT sensors and smart cameras can monitor safety hazards such as fire, smoke, and hazardous gases, as well as security breaches such as unauthorized access to the warehouse. This can improve safety and security for warehouse employees and prevent theft and loss of inventory.
Energy management
IoT sensors can monitor energy consumption and usage patterns in the warehouse and provide real-time insights to managers on how to optimize energy usage and reduce costs.