Tel Aviv residential complex utilising facial recognition to protect tenants from COVID-related threats

Gindi TLV, a complex in the heart of Tel Aviv, maintains the safety of its community by using Oosto’s face and object recognition to reduce contact with surfaces and enforce policy of density, distance and wearing masks in public areas.

Gindi TLV includes four towers, restaurants, cafes, a country club and a mall. The complex has been planned and designed to allow community life for families and individuals who have chosen to live in the beating heart of Tel Aviv within walking distance of the city’s business and entertainment areas.

The complex residents use a dedicated app for booking of the complex’s facilities, parking, guest invitation and as a social network that is the basis for community life in the complex. Gindi TLV is also equipped with interconnected technological systems that enable efficient and cost-effective management of infrastructure and service to tenants.

The Prop-tech technology in the complex was developed and managed by the start-up MyTower, which serves as a design partner in the project. Gindi TLV uses Oosto’s facial recognition tech to allows tenants touchless and secure entry.

Dan Stern, VP Digital, Gindi TLV explains: “On the one hand the tenants in the complex are highly sensitive to personal security and privacy and on the other hand because it is their home, we did everything to avoid using cards, chips or fingerprints and allow easy access control for tenants and their guests using Oosto’s advanced facial recognition technology.

“Following the ongoing Covid epidemic, there has been a need to expand the use of visual AI to maintain community safety by reducing contact with surfaces, monitoring density in facilities and public areas in the complex. “

Ofer Schmidt, Sales Director, Central Europe & Israel Oosto: “Pre-Covid, maintaining tenant safety was primarily about security – letting tenants and their guests in and keeping unauthorised people out, in a transparent and smooth manner.

“These days we are seeing more and more prestigious residence complexes using face and object recognition to maintain the health of the tenant and staff for example by enforcing a policy of on distance, density, wearing masks and allowing only vaccinated or those with a negative test access to common facilities such as the gym.

“The high accuracy of the computer vision algorithms operating in Gindi TLV enables the maintenance of the health of those who live or visit the complex while minimally interfering with their daily routine.”

Video analytics using artificial intelligence to reduce Covid-related risks is not unique to residential complexes. According to a recent survey 82% of academic institutions in the US and Western Europe will adopt face and object recognition technologies to maintain safety through enforcing mask wearing, social distancing and reducing contact with surfaces to minimum.

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