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Smart Fever Detection and Contact Tracing against COVID-19

BBoulder Investments, LLC, in partnership with Israk Solutions, announces in US the launch of an integrated system of thermal imaging camera and contact tracing software to help fight the spread of COVID-19 and other pathogenic illnesses. Israk Solutions has been a reputable Malaysia-based provider of temperature-screening hardware since 2003 against SARS. The joint partners have begun a global distribution of its ARVIA Fever Screening Camera/Scanner.

According to the Centers for Disease Control, contact tracing is imperative for preventing further spread of COVID-19. Contact tracing has been a core disease control measure employed by local and state health department personnel for decades. The WHO also recommends public health practitioners, governmental bodies and property owners implement fever screening and temperature detection hardware immediately, as part of Standard Operating Procedures (SOP), and mandatory in some countries and states in order to reopen business after the lockdown.

ARVIA Smart Fever Detection keeps track of date and time records of all scanned faces for any building and can be implemented as an independent system or can be customized and integrated into an attendance system or human resources management software. A small business can implement a simple process, using a self-registration form with indicators such as age, fatigue, loss of appetite, smell or taste or persistent cough. These indicators are as critical and reliable in identifying infections in addition to fever screening.

Features and Advantages

– A 7-inch face-recognition terminal with 2M binocular and sensitive thermal camera in three different models: wall-mounted, table top or floor stand, which can be integrated with other enterprise software, turnstiles, door/gate access, or attendance systems.

– The temperature measurement accuracy less than ±0.3°C for measurement distance of 0.4 to 1.5-meter and does not require foot-traffic to stop moving, surpassing International Electrotechnical Commission (IEC) and World Health Organization (WHO) specifications.

– Built-in, state-of-the-art face recognition algorithms that use embedded neural network processors, with high precision and fast speeds; supports accurate recognition in crowds with multi-person recognition, side views, semi-occlusion, and blurred conditions; utilizes a 50,000-face library in both online/offline modes.

Meeta Ramnani
Meeta Ramnani
Meeta develops credible content about various markets based on deep research, opinions from experts and inputs from industry leaders. As the managing editor at Smart Industry News, she assures that every piece of news and article adds to the knowledge of decision makers. An avid bike rider, Meeta, is a postgraduate from Indian Institute of Journalism and New Media (IIJNM) Bangalore, where her specialization was Business Journalism. She carries experience from mainstream print media including The Times Group and Sakal Media Group.