Artificial Intelligence Technology Solutions Inc.
Besides charging and range anxiety, there is another issue affecting the adoption of electric vehicles—charging station safety fears, which come as the United States is set to deploy $5 billion in public charging infrastructure through the National Electric Vehicle Infrastructure Formula Act.
To address safety concerns, for the first time Robotic Assistance Devices Group (RAD-G) is providing its award-winning AI-powered security analytics as original equipment manufacturer (OEM) components, which can detect and respond to instances of trespassing, loitering and the presence of firearms, to the charging station industry. Safety feature components may include a system-level board (RADPack Milli), microphones, security cameras, audio speakers and messaging panels.
At the core of the RAD ecosystem is what’s known as an ‘autonomous response,’ the series of programmed and machine-learned responses to events and actions within the device’s field of view. Other security devices record video for later retrieval and review, but only after the occurrence of suspicious or unlawful activities.
“To provide enough range for drivers, some charging stations will undoubtably be in dark and desolate locations. They must be secure for drivers to use them,” says Steve Reinharz, RAD-G founder and CEO. “Implementation of our devices in charging stations will help create safe havens so drivers can charge their vehicles safely and securely and in doing so we can support the movement toward electric vehicles, which is so important to our energy and environmental future.”
A recent story by CNN reported the United States is set to have 500,000 new electric vehicle chargers by 2030 to keep up with the demand. A nationally representative January/February 2022 Consumer Reports survey reported that of adults who indicated that charging considerations would hold them back from purchasing an electric vehicle, women were twice as likely as men to cite concerns about safety when charging at a public charging station.
RAD-G’s package, the RADPack Milli, can detect firearms up to 250-feet away, under the right conditions, providing an incredible advantage of time to protect and respond. RADPack Milli harnesses the immense power of RAD’s AI analytic library to be able to detect when an unusual situation occurs and if it continues. These fully customizable autonomous responses could be an escalation of both audible and visual alerts, including highly visible lighting and blaring alarms. If the detected situation continues, devices may open lines of communication with local or remote monitoring personnel or law enforcement to dispatch resources to the scene.
“Our plan is to offer EV charging station manufacturers low-cost, add-on components to their existing charging stations,” Reinharz says. “Our RADPack Milli, when integrated into a charging station, will greatly expand the value of any charging station, providing much need security and safety features to an often vulnerable situation.”
RAD-G is a wholly owned subsidiary of Artificial Intelligence Technology Solutions Inc, is a high-tech start-up that produces and delivers component-level artificial intelligence-based solutions that empower organizations to offer enhanced solutions based on proven technology, with a quick time-to-market. RAD-G has developed its advanced technology from the ground up including circuit board design, and base code development.
RAD-G’s sister company, Robotic Assistance Devices (RAD), the leader in the security services industry in delivering AI-based security and safety solutions that empower organizations to reduce their reliance on human personnel and legacy #proptech and solve their complex security challenges.
RAD’s multiple award-winning comprehensive solutions have received industry recognition for their autonomous ability to detect and deter instances of trespassing and other property intrusions without the need for manned guarding assistance. Plus RAD’s full suite of hardware and software solutions deliver immediate return on investment.
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