Remark Holdings, Inc., a diversified global technology company with leading artificial intelligence (AI) solutions and digital media properties, announced that it is collaborating with Brightline, the only provider of modern, eco-friendly intercity rail in the United States, to implement Remark’s Smart Safety Platform (SSP) for unauthorized intrusion detection while working with Brightline to incorporate AI in additional technologies for other applications.
“Brightline maintains a strong focus on community, guest safety and service reliability, and their search for a safe and reliable method of monitoring its properties and rail corridors to reduce risk brought the company to us,” said Kai-Shing Tao, Chairman and Chief Executive Officer of Remark Holdings. “Remark’s SSP is a natural fit for the job Brightline wants done properly. The SSP’s AI-powered intrusion detection tools operate 24 hours every day and are able to detect and accurately cover a wider range than humans can without assistance.”
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In 2018, Brightline launched in South Florida connecting Miami, Fort Lauderdale and West Palm Beach, showcasing high speed rail’s potential in the United States. Expansion to Orlando is already underway and expected to be substantially completed by the end of 2022. The company is working on its first expansion plans outside of Florida with a series of intercity projects that will connect Las Vegas and Los Angeles with emission free, high-speed rail.
“With the frequency of our service on a shared corridor in South Florida, we at Brightline are intently focused on safety. We are investing in safety enhancements involving engineering, enforcement, education and technology and are excited to work with Remark to pilot a new intrusion detection application,” said Robert Gatchell, chief safety and security officer for Brightline. “Trespassing on railroad tracks is an industry-wide concern and Brightline continues to pilot new technologies to monitor our corridor.”
Remark’s sophisticated AI powered cameras and Smart Safety Platform provides detailed computer vision coverage to detect intrusions and track anomalies, while providing real-time, actionable predictive analysis from data collected while monitoring long stretches of track and railyard areas for unusual behavior.
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