The AI ​​Eye Podcast – CTO of GBT discusses how Apollo’s computer vision technology is expanding autonomous driving and has potential in many areas

Vancouver, Kelowna and Delta, British Columbia – (Newsfile Corp. – November 23, 2022) – Investorideas.com (www.investor ideas.com)a global investor news source covering artificial intelligence (AI) stocks publishes a special edition of the AI ​​Eye podcast, which examines the computer vision market, with a focus on its application in autonomous vehicles, with an interview with the AI innovator GBT Technologies Inc. (OTC Pink : GTCH).

Listen to the podcast:
https://www.investorideas.com/Audio/Podcasts/2022/112122-AI-Eye.mp3

Watch the video on Youtube:
https://www.youtube.com/watch?v=v36rsPX71Tw

Investorideas.com recently spoke to Danny Rittman, CTO of GBT Technologies Inc. (OTC Pink: GTCH) about the company’s intelligent, wireless motion-detection-patented computer vision technology, codenamed “Apollo”. Rittman and GBT recently looked into testing Apollo using simulations to identify obstacles on train tracks. Rittman explained that the scope of Apollo goes even further.

“One of the key things that Apollo is very good at is obstacle detection,” Rittman said. “It’s not limited to obstacles on train tracks, it applies to cars, motorcycles, underwater and everywhere.”

“Anything a human can’t see, or can’t see well from afar, the Apollo can see very quickly, get a warning and even take action itself,” he added. “This also applies to autonomous vehicles.”

Apollo sends electromagnetic waves through the air, receives reflections from objects and living beings, and basically analyzes that information to create 2D or 3D images.

“It basically shoots radio waves at the scanned area, analyzes the reflections that return using advanced neural network software, and creates a 3D image of the scanned area,” Rittman said. “Because Apollo can detect very small changes in volume, it can easily identify living things, stationary objects, shapes, etc… Because it has been trained to identify objects and situations, it can do the same quickly.” [issue] Alerts after the area is scanned and the information is retrieved.”

While the company’s recent testing highlights its usefulness in transportation, its applicability extends to healthcare, security, and many other areas. Rittman described Apollo’s convenience and effectiveness in several areas.

“It’s wearable, so people don’t have to wear anything,” he said. “You just put a box in the room, it’s about the size of a router. She can [also] seeing in the dark, counting people in a conference room, being installed at an airport and recognizing hidden objects, identifying facial features.”

A report published by Allied Market Research states that the global computer vision market is expected to grow from about $10.8 billion in 2021 to about $41.1 billion in 2030, a compound annual growth rate (CAGR) of 16 percent from 2020-30. The following excerpt from the report’s executive summary outlines some examples of the growing breadth of the market:

“Computer vision applications have spread across various industries in recent years and this trend is expected to continue in the years to come. Applications such as facial recognition technology have become popular in both the public and private sectors [it’s] be carried over into users’ everyday lives, thereby creating a lucrative scope for the overall market growth. In addition, newer applications such as product/content discovery systems popular in the online retail industry use computer vision systems to support customers’ products based on user images.”

Elsewhere in the autonomous vehicle space, XPeng Inc., a Chinese electric vehicle (EV) company, recently unveiled a range of mobility technologies at its fourth annual 1024 Tech Day, held at its Guangzhou headquarters. These included its “next-generation neural network-based perception architecture, closed-loop AI and data management platform, industry-leading voice and intelligent cabin technologies, and the latest developments in its mobility ecosystem, including the latest robotaxi, flying car, and robotics efforts. Xinzhou Wu, Vice President of Autonomous Driving of XPENG stated:

“Our rollout of the City NGP (Navigation Guided Pilot) pilot program in September was a crucial milestone in the second half of the race to the final game of autonomous driving. Improving the customer experience through innovation is our ultimate goal. We implement the most advanced driver assistance in production vehicles in complex urban driving environments, a big step forward as we work to expand our autonomous driving capabilities.

Recently, the autonomous driving company Mobileye Global Inc. announced that Chinese automaker Geely’s all-electric multi-purpose vehicle (MPV) ZEEKR 009 adopts Mobileye SuperVision, Mobileye’s most advanced driver assistance system. Supervision offers features such as “autonomous lane changing, adaptive cruise control, comprehensive surround emergency assist, advanced traffic sign and light recognition, front and rear collision avoidance, and evasive maneuver assist.”

However, Rittman adds that GBT’s Apollo still improves on existing AI and computer vision solutions in autonomous driving.

“We’re already seeing cars flooded with sensors, we’ve got ultrasound, lidar, etc. and they’re all working well,” he said. “But we believe that Apollo goes one step further. Apollo is not dependent on things like weather conditions or lighting conditions. It works anywhere, anytime, is fast and provides real-time information.”

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About GBT Technologies Inc.
GBT Technologies, Inc. (OTC Pink: GTCH) (“GBT”) (http://gbtti.com) is a development-stage company that promotes itself as a native of the Internet of Things (IoT), Artificial Intelligence (AI) and Enabled looks at mobile technology platforms to boost IC performance. GBT has assembled a team with deep technology expertise and is building an intellectual property portfolio consisting of many patents. GBT’s mission is to license technology and intellectual property to synergistic hardware and software partners. After commercialization, GBT’s goal is to have a series of products including intelligent microchips, AI, encryption, blockchain, IC design, mobile security applications, database management protocols with tracking and supporting cloud software (without GPS). GBT envisions this system as creating a global mesh network using advanced nodes and high-performance new-generation IC technology. The core of the system will be its advanced microchip technology; Technology that can be installed in any mobile or fixed device worldwide. GBT’s vision is to produce this system as a low-cost, secure private mesh network between any and all enabled devices. In this way, shared processing, advanced mobile database management and sharing are provided while using these advanced mobile capabilities as an alternative to traditional carrier services.

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