Foresight Autonomous Holdings Ltd. (NASDAQ: FRSX)
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Posted On: 06/07/2018 6:40:00 PM
Foresight Autonomous Holdings Ltd. (NASDAQ: FRSX) (TASE: FRSX) Close to Rolling Out Cutting-Edge Vision System for Driverless Cars
- QuadSight™ multi-spectral automotive vision system detects close to 100 percent of obstacles
- System uses four cameras to detect obstacles in all lighting and weather conditions
- Foresight expects QuadSight™ to be commercialized next year
- Insurance industry evidence shows that driver-assistance technology reduces vehicle crashes, injuries and deaths
With recent fatal accidents fresh in the public mind involving cars equipped with driver-assistance technology, Foresight Autonomous Holdings Ltd. (NASDAQ: FRSX) (TASE: FRSX) is pressing on with a unique obstacle-detection vision system that raises the safety standard higher than ever.
In an audio press release on May 24 (http://nnw.fm/A0nJi), Foresight said that its QuadSight™ system promises key advantages over other detection systems currently at various stages of development for use in self-driving cars. In tests, QuadSight’s™ sensors achieved close to 100 percent detection of obstacles. Foresight expects to commercialize the system next year.
QuadSight™ works by using input from four cameras, two of which function on the infrared spectrum and two in visible light. The images from the cameras are then interpreted by advanced vision-processing algorithms that have been successfully used all over the world for almost 20 years by Foresight’s main shareholder, homeland security technology firm Magna BSP Ltd. This combination of infrared and visible light spectrum input means that QuadSight™ detects obstacles whatever the weather and at any time of day or night.
Quoted in the press release, Foresight CEO Haim Siboni said, “Vision is the foundation of passenger safety, and vision perfection under all weather and lighting conditions is clearly the breakthrough that vehicle makers need to build consumer confidence in order to accelerate autonomous vehicle adoption.”
With industry specialists and legislators fully expecting self-drive cars to be part of the near future of motoring (http://nnw.fm/e0IMw), Foresight has been working since 2015 to develop vision sensor technologies that will work in a timely and accurate manner.
Besides QuadSight™, the Israel-based company has also developed Eyes-On™, an advanced driver assistance technology that, in addition to detecting hazards like pedestrians, animals and other vehicles, also warns motorists when they stray out of their lanes. Foresight is also behind Eye-Net™, a cellular-based app that alerts pedestrians and vehicles of collision dangers from road users outside their field of vision, such as objects approaching around the corner.
Driver-assisted technologies have proven to drastically reduce motor vehicle accidents, deaths and injuries. According to the Insurance Institute for Highway Safety website, crash avoidance features using some of the same sensing and control technologies that underpin automation are already proving effective. Features such as automatic braking, blind spot detection, lane departure warning and electronic stability control have shown potential to prevent crashes (http://nnw.fm/07cMN).
Early this year, a survey by the American Automobile Association (AAA) found that consumers are growing more positive toward driverless vehicles (http://nnw.fm/KT7Il). According to the AAA, this rising consumer confidence could be the result of drivers learning more about self-driving vehicle technology and themselves using driver assistance technology.
With QuadSight™, Eyes-On™ and Eye-Net™, Foresight is perfecting a highly promising line of automotive vision systems that will further increase the safety and dependability of driver assistance and automated vehicle technology, positioning the company for sustained growth as a worthwhile investment opportunity in this fast-growing market.
For more information, visit the company’s website at www.ForesightAuto.com
Please see full disclaimers on the NetworkNewsWire website applicable to all content provided by NNW, wherever published or re-published: http://NNW.fm/Disclaimer
- QuadSight™ multi-spectral automotive vision system detects close to 100 percent of obstacles
- System uses four cameras to detect obstacles in all lighting and weather conditions
- Foresight expects QuadSight™ to be commercialized next year
- Insurance industry evidence shows that driver-assistance technology reduces vehicle crashes, injuries and deaths
With recent fatal accidents fresh in the public mind involving cars equipped with driver-assistance technology, Foresight Autonomous Holdings Ltd. (NASDAQ: FRSX) (TASE: FRSX) is pressing on with a unique obstacle-detection vision system that raises the safety standard higher than ever.
In an audio press release on May 24 (http://nnw.fm/A0nJi), Foresight said that its QuadSight™ system promises key advantages over other detection systems currently at various stages of development for use in self-driving cars. In tests, QuadSight’s™ sensors achieved close to 100 percent detection of obstacles. Foresight expects to commercialize the system next year.
QuadSight™ works by using input from four cameras, two of which function on the infrared spectrum and two in visible light. The images from the cameras are then interpreted by advanced vision-processing algorithms that have been successfully used all over the world for almost 20 years by Foresight’s main shareholder, homeland security technology firm Magna BSP Ltd. This combination of infrared and visible light spectrum input means that QuadSight™ detects obstacles whatever the weather and at any time of day or night.
Quoted in the press release, Foresight CEO Haim Siboni said, “Vision is the foundation of passenger safety, and vision perfection under all weather and lighting conditions is clearly the breakthrough that vehicle makers need to build consumer confidence in order to accelerate autonomous vehicle adoption.”
With industry specialists and legislators fully expecting self-drive cars to be part of the near future of motoring (http://nnw.fm/e0IMw), Foresight has been working since 2015 to develop vision sensor technologies that will work in a timely and accurate manner.
Besides QuadSight™, the Israel-based company has also developed Eyes-On™, an advanced driver assistance technology that, in addition to detecting hazards like pedestrians, animals and other vehicles, also warns motorists when they stray out of their lanes. Foresight is also behind Eye-Net™, a cellular-based app that alerts pedestrians and vehicles of collision dangers from road users outside their field of vision, such as objects approaching around the corner.
Driver-assisted technologies have proven to drastically reduce motor vehicle accidents, deaths and injuries. According to the Insurance Institute for Highway Safety website, crash avoidance features using some of the same sensing and control technologies that underpin automation are already proving effective. Features such as automatic braking, blind spot detection, lane departure warning and electronic stability control have shown potential to prevent crashes (http://nnw.fm/07cMN).
Early this year, a survey by the American Automobile Association (AAA) found that consumers are growing more positive toward driverless vehicles (http://nnw.fm/KT7Il). According to the AAA, this rising consumer confidence could be the result of drivers learning more about self-driving vehicle technology and themselves using driver assistance technology.
With QuadSight™, Eyes-On™ and Eye-Net™, Foresight is perfecting a highly promising line of automotive vision systems that will further increase the safety and dependability of driver assistance and automated vehicle technology, positioning the company for sustained growth as a worthwhile investment opportunity in this fast-growing market.
For more information, visit the company’s website at www.ForesightAuto.com
Please see full disclaimers on the NetworkNewsWire website applicable to all content provided by NNW, wherever published or re-published: http://NNW.fm/Disclaimer
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