Detect real-time gatherings to keep the public safe
Gathering detection is a critical capability in law enforcement’s efforts to prevent super spreader events. With tools to detect gatherings in real-time, officials can use our innovative command & control center to alert nearby officials when unlawful gatherings occur. By mobilizing more quickly to disperse and predict these gatherings, we can ensure that our neighborhoods continue to comply with social distancing guidelines, even as we move to re-open the economy.
Crowd Gathering Index
Providing real-time visibility into population gatherings in public places.
System includes a prediction mechanism that enables proactive approach for the prevention of population aggregation and to enhance social distancing guidelines in these areas
Real Time AlertsGain real-time notifications for crowd-gathering and regulation violations.
Detect & RespondDetect lack of adherence to regulations and alert authority figures for proper response.
Critical DeploymentsInsights to accurately deploy first responders to critical areas.
Historical Case log historyKeep track of gathering, crowds, and disease movement in order to identify patterns and historical logs.
Custom parameter configurationIdentify and build parameters for specific locations in order to track movement within.
Retail Business Case Study
Restart the economy safely while ensuring proper COVID-19 risk mitigation measures are in place.
Neura deployed a real-time economy restart insights platform, including micro-segmentations in order to stay in compliance with changing guidelines. We equip businesses with predictive analytics and visibility into areas, businesses, and populations with risk of future outbreaks.
Data-driven decision making for controlled business reopening as well as information for social distancing compliance according to geographies in order to communicate reliable and critical information to populations.Read More >
Municipality Case Study
Our social distancing index was used as a predictor of COVID-19 outbreaks.
Neura deployed a system to help the government predict cities with an increased risk of COVID-19 outbreaks, providing a social-distancing index that has taken into account millions of anonymized data points building a behavioral model of population density and migrations.
During the peak of COVID-19, a high correlation was proven between Neura's index and the percentage of COVID-19 cases in 3 distinct cities. The scores were shared with health authorities enabling data driven COVID-19 policy decisions.Read More >
Health Organization Case Study
Enabled one of the world's largest HMO's to effectively deploy COVID-19 screening tests.
Neura's technology generated metrics such as social distancing index, human encounter rates, personal mobility patterns and behavioral segmentation, Neura was able to accurately map and calculate the infection rate potential for members of the Health Maintenance Organization.
Through the merging of our machine learning behavioral segmentation with the HMO's epidemiological data base, our client was able to optimally utilize scarce screening tests on patients where it would be most impactful.Read More >