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Tag: LiDAR

  • How Luminar’s doomed Volvo deal helped drag the company into bankruptcy | TechCrunch

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    In early 2023, Luminar was riding high. After going public during the pandemic and scoring a key deal with Volvo, the company had added Mercedes-Benz and Polestar as customers of its “lifesaving” lidar sensors. Founder and CEO Austin Russell called it an “inflection point,” as Luminar prepped to have those sensors integrated into the first production vehicles.

    Volvo in particular was all in on the technology. The Swedish automaker, which spent decades building a brand around the idea of making the safest cars, was the first to jump at integrating the laser-based sensors in its vehicles. Volvo initially tapped Luminar to provide 39,500 lidar sensors over the life of a deal signed in 2020. In 2021, Volvo upped that to 673,000. And in 2022, Volvo upped it again, this time to 1.1 million sensors.

    Three years later, Luminar is now in bankruptcy. The company has already made a deal to sell off one subsidiary centered around semiconductors and is looking to sell its lidar business during the Chapter 11 process, which began on Monday.

    The first batch of filings in the bankruptcy case shed new light on how Luminar’s cornerstone deal with Volvo came apart — and how its undoing helped push the once-promising startup over the edge.

    Big promises, then big revisions

    Luminar made “substantial up-front investments in equipment, facilities, and workforce” to meet the demand from Volvo back in 2022, according to a declaration written by Luminar’s newly hired chief restructuring officer Robin Chiu. It built out a manufacturing facility in Monterrey, Mexico, and spent nearly $200 million to prepare to make its Iris lidar sensors for Volvo’s EX90 SUV.

    “Volvo was going to be a marquee customer, the stepping stone to introducing the company’s Iris product to the broader automotive industry,” one of Luminar’s lawyers said during the first hearing in the bankruptcy case on Tuesday.

    But, according to Chiu, problems were already brewing with Volvo. The automaker delayed the EX90 SUV because it needed to do more “software testing and development,” the automaker said in 2023. And in early 2024, Luminar says Volvo reduced its expected volume for Iris sensors by 75%.

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    Luminar’s other deals started to sour, too. Polestar (a subsidiary of Volvo) quietly gave up on integrating Luminar’s lidar sensors “because the vehicle’s software ultimately could not use” the features, according to Chiu. Mercedes-Benz terminated its agreement to buy Luminar’s Iris sensors in November 2024 because the lidar-maker “failed to meet ambitious requirements,” according to Chiu.

    (Mercedes-Benz struck up a new deal with Luminar in March 2025 for its next-generation Halo lidar, but Chiu wrote that Luminar has “no go-forward projects” with the German automaker at the time of bankruptcy.)

    This left Luminar with Volvo as its lone flagship customer.

    The company never diversified much beyond the automotive industry, shunning other applications like defense or robotics. In fact, Russell had founded Luminar in 2012 with the goal of taking lidar out of those sectors and into automotive to help accelerate the adoption of autonomous vehicles.

    It wasn’t until March of this year that Russell talked about expanding beyond automotive, as Luminar signed a deal with construction equipment company Caterpillar. Just two months later, Russell abruptly resigned following an ethics inquiry from Luminar’s board of directors.

    “More bad news”

    By Chiu’s account, Volvo kept promising that it would meet the lifetime order of 1.1 million units despite the reduced volume in 2024. So Luminar kept pressing forward under that assumption.

    But signs of stress were showing. Luminar laid off 20% of its workforce in May 2024 and outsourced more of its lidar sensor manufacturing. It deepened those cuts and restructured some of its business in September 2024. Another round of layoffs came in May 2025 after Russell resigned.

    In September, “Volvo delivered more bad news,” Chiu wrote. The automaker decided to offer lidar as an option on the EX90 going forward, instead of making it a standard feature as originally planned. Volvo also told Luminar that it was shelving lidar on future vehicles “as a cost-cutting measure.”

    “This change reduced Volvo’s estimated lifetime volumes by approximately 90%,” Chiu wrote.

    Luminar told Volvo on October 3 that it considered this a breach of the agreement the companies had first signed in 2020. On October 31, the dispute became public, as Luminar told shareholders in a regulatory filing that it was suspending sensor shipments to Volvo. The Swedish automaker sent Luminar a letter two weeks later, terminating the agreement.

    Volvo told TechCrunch in a statement Tuesday that it “made this decision to limit the company’s supply chain risk exposure and it is a direct result of Luminar’s failure to meet its contractual obligations to Volvo Cars.”

    “The company’s products can deliver a high level of safety and driver support, enabled by the cars’ powerful core computing coupled with their advanced sensor set — with or without a lidar,” a Volvo spokesperson said.

    Luminar, meanwhile, started selling lidar sensors meant for Volvo “to adjacent markets in an effort to recover its sunk costs,” according to Chiu’s filing, but it was too little too late.

    “As its relationship with Volvo deteriorated, [Luminar] worked tirelessly to identify new customers, but was ultimately unable to enter into production with any new customers in a timely fashion,” Chiu wrote. “The public Volvo dispute also resulted in a decline in sales due to broader market concerns over Luminar’s financial future.”

    Now the future of what’s left of Luminar is in the hands of its creditors and the court. It’s seeking the judge’s approval to sell the semiconductor subsidiary to Quantum Computing, Inc. for $110 million, and hopes to court a number of bidders for the lidar business.

    Luminar has already had significant interest in the lidar business, according to the filing. In January, Chiu wrote, the company hired investment bank Jefferies to evaluate a sale after receiving an “unsolicited acquisition proposal.” Luminar received “additional unsolicited inbound expressions of interest to acquire the Company” through the summer and fall — including one submitted by Russell through his new AI lab in October.

    As TechCrunch reported Monday, Russell plans to keep bidding on Luminar’s remains as the bankruptcy case moves forward. During Tuesday’s hearing, a lawyer for Luminar said it is “deep into the sale process” and “in negotiations with” several potential bidders.

    This story has been updated with a statement from Volvo and information from Luminar’s first bankruptcy hearing.

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    Sean O’Kane

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  • How a PhD Student Discovered a Lost Mayan City From Hundreds of Miles Away

    How a PhD Student Discovered a Lost Mayan City From Hundreds of Miles Away

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    A new Mayan city, lost in the dense jungle of southern Mexico for centuries, has been discovered from the computer of a PhD student hundreds of miles away. This is the story of how he did it.

    The settlement, named Valeriana after a nearby freshwater lagoon, has all the characteristics of a classic Maya political capital: enclosed plazas, pyramids, a ball court, a reservoir, and an architectural layout that suggests a foundation prior to 150 AD, according to a newly published study in the journal Antiquity.

    And how did Tulane University graduate student Luke Auld-Thomas find it? The answer lies in lasers. Until recently, archaeology was limited to what a researcher could observe from the ground and with their eyes. However, the technology of detecting and measuring distances with light, known as lidar, has revolutionized the field, allowing us to scan entire regions in search of archaeological sites hidden under dense vegetation or concrete.

    Let’s travel back in time. It is 1848 and the governor of Petén, Guatemala, Modesto Méndez, together with Ambrosio Tut, an artist and chronicler of the time, rediscovered Tikal, one of the most majestic archaeological sites of the Mayan civilization. In the middle of the 19th century, little was known about this advanced culture—which calculated lunar, solar, and Venusian cycles, and invented hieroglyphic writing and the concept of the number zero with hardly any tools.

    The dense rainforest surrounding Tikal and its lack of roads made it extremely difficult to reach the remains. But the Guatemalan government went deep into the heart of the Petén jungle anyway, in search of its cultural heritage. Guided by the rumors of the locals, machete in hand, along with tape measure and compass, they entered the Petén jungle on an almost impossible mission. Arriving at the Tikal site, Méndez and his team were amazed at what they saw: gigantic temples and pyramids, mostly covered by the jungle. The most imposing constructions, hidden by nature, towered above the tree canopy. Tikal, although partially buried, retained its majesty and gave clues to the enormous size of the city.

    History repeated itself in 2024—but with some important variations. Rather than a machete, Auld-Thomas armed himself with a search engine. WIRED spoke this week with him and Marcello Canuto, director of Tulane’s Middle American Research Institute, about the discovery.

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    Anna Lagos

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  • Luminar cuts 20% of staff and outsources lidar production | TechCrunch

    Luminar cuts 20% of staff and outsources lidar production | TechCrunch

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    Lidar company Luminar is slashing its workforce by 20% and will lean harder on its contract manufacturing partner as part of a restructuring that will shift the company to a more “asset-light” business model, as it aims to scale production.

    The cuts will affect around 140 employees, and are starting immediately. Luminar is also cutting ties with “the majority” of its contract workers.

    “Today, we stand at the crossroads of two realities: the core of our business has never been stronger across technology, product, industrialization, and commercialization; yet at the same time the capital markets perception of our company has never been more challenging,” billionaire founder and CEO Austin Russell said in a letter posted to Luminar’s website. “[T]he business model and cost structure that enabled us to achieve this leadership position no longer fit the needs of the company.”

    Russell wrote in the letter that the restructuring will make it possible for Luminar to get products to market faster, “drastically reduce” costs, and set the company up better for profitability. The company said in a regulatory filing that the changes will reduce operating costs “by $50 million to $65 million on an annual basis.” The company is also reducing its global footprint “by sub-leasing portions or the entirety of certain facilities.”

    Luminar will continue to operate its Florida facility, which is used for development, testing and research and development, according to spokesperson Milin Mehta.

    Luminar announced in April that it had begun shipping production lidar sensors to Volvo to be built into the automaker’s EX90 luxury SUV. It also announced plans to deepen its relationship with Taiwanese contract manufacturing company TPK Holding. TPK has “committed to an exclusive relationship with Luminar,” Russell wrote in his letter.

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    Sean O’Kane

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  • Somehow This $10,000 Flame-Thrower Robot Dog Is Completely Legal in 48 States

    Somehow This $10,000 Flame-Thrower Robot Dog Is Completely Legal in 48 States

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    If you’ve been wondering when you’ll be able to order the flame-throwing robot that Ohio-based Throwflame first announced last summer, that day has finally arrived. The Thermonator, what Throwflame bills as “the first-ever flamethrower-wielding robot dog” is now available for purchase. The price? $9,420.

    Thermonator is a quadruped robot with an ARC flamethrower mounted to its back, fueled by gasoline or napalm. It features a one-hour battery, a 30-foot flame-throwing range, and Wi-Fi and Bluetooth connectivity for remote control through a smartphone.

    It also includes a LIDAR sensor for mapping and obstacle avoidance, laser sighting, and first-person view (FPV) navigation through an onboard camera. The product appears to integrate a version of the Unitree Go2 robot quadruped that retails alone for $1,600 in its base configuration.

    Photograph: Xmatter

    The company lists possible applications of the new robot as “wildfire control and prevention,” “agricultural management,” “ecological conservation,” “snow and ice removal,” and “entertainment and SFX.” But most of all, it sets things on fire in a variety of real-world scenarios.

    Back in 2018, Elon Musk made the news for offering an official Boring Company flamethrower that reportedly sold 10,000 units in 48 hours. It sparked some controversy because flamethrowers can also double as weapons or potentially start wildfires.

    Flamethrowers are not specifically regulated in 48 US states, although general product liability and criminal laws may still apply to their use and sale. They are not considered firearms by federal agencies. Specific restrictions exist in Maryland, where flamethrowers require a Federal Firearms License to own, and California, where the range of flamethrowers cannot exceed 10 feet.

    Thermonator spewing flames

    Photograph: Xmatter

    Even so, to state the obvious, flamethrowers can easily burn both things and people, starting fires and wreaking havoc if not used safely. Accordingly, the Thermonator might be one Christmas present you should skip for little Johnny this year.

    This story originally appeared on Ars Technica.

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    Benj Edwards, Ars Technica

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  • Wilmington, NC, Firm Awarded Over $1Million in New 2023 Contracts, Launches New Drone Division

    Wilmington, NC, Firm Awarded Over $1Million in New 2023 Contracts, Launches New Drone Division

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    Press Release


    Feb 7, 2023 07:00 EST

    Geo Owl, a premier provider of Geographic Information Systems (GIS) technology and services, is proud to announce new 2023 contract awards totaling over $1 Million in GIS-based digital cartographic production. The contracts will be operated from the company’s Wilmington, NC, headquarters and further expand their GIS support to the National Geospatial-Intelligence Agency and industry partners.

    Geo Owl’s CEO Nick Smith provided some insight into the new contracts: “Our team is very excited to expand our work with NGA and continue support to our amazing partners. We’ve built a unique and talented staff here in Wilmington, led by Tom Koch and Zach Stadelman, that is capable of continually improving our efficiency, accuracy and timeliness, which keeps elite national-level customers coming back to team Geo Owl.” Geo Owl has supported the National Geospatial Intelligence Agency since 2015 on various contract efforts, including high-priority national security missions.

    In addition, Geo Owl has invested over $150,000 into a new UAS Drone program, which includes the purchase of aerial drones, sensors, training, and field equipment. This program bolsters their existing GIS capabilities and enables the company to support new clients in the local government and commercial sectors with advanced and comprehensive geospatial services, including aerial mapping, data collection, processing, and analysis from their LiDAR, RGB, Thermal, and Multi-Spectral sensors.

    The company was founded in 2013 and has over 100 employees supporting vital national defense missions, including support to the United States Special Operations Command (Special Forces), the Army, the Marine Forces Special Operations Command (MARSOC) and national intelligence agencies. Their current contracts include Enterprise GIS support, Geospatial Intelligence Analysis, Software Development, and Intelligence, Surveillance, and Reconnaissance. Geo Owl’s Chief Growth Officer James Moore added, “We are proud of our decade of support to these elite customers and look forward to supporting local North Carolina government and commercial customers with the same commitment to quality and mission first ethos.” 

    To learn more, Geo Owl’s CEO hosts a semi-monthly video and audio podcast discussing GIS, geospatial, drones, ai and other technologies. 

    Follow Nick on Twitter

    Follow Geo Owl on Twitter

    To reach for comment, contact info@geoowl.com

    Source: Geo Owl

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  • Algolux Extends Eos Perception Software to Address Critical ADAS and Autonomous Vehicle Depth Limitations

    Algolux Extends Eos Perception Software to Address Critical ADAS and Autonomous Vehicle Depth Limitations

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    The new Eos Robust Depth Perception Software resolves the range, resolution, cost, and robustness limitations of the latest lidar, radar, and camera based systems combined with a scalable and modular software perception suite.

    Press Release


    Sep 12, 2022

    Algolux Inc., the leading provider of robust and scalable depth perception solutions, has announced its Eos Robust Depth Perception Software. The expanded AI software offering builds on the company’s advanced perception portfolio to now deliver both industry-leading dense depth estimation and robust perception to further increase the safety of passenger and transport vehicles in all lighting and weather conditions.

    This new offering addresses the cost and performance limitations in today’s automated driver assist systems (ADAS) and autonomous vehicle (AV) platforms by applying the same breakthrough deep learning approach used by Algolux’s award winning robust perception software.

    Mercedes-Benz has a track record as an industry leader delivering ADAS and autonomous driving systems, so we intimately understand the need to further improve the perception capabilities of these systems to enable safer operation of vehicles in all operating conditions,” said Werner Ritter, Manager, Vision Enhancement Technology Environment Perception, Mercedes-Benz AG. “Algolux has leveraged the novel AI technology in their camera-based Eos Robust Depth Perception Software to deliver dense depth and detection that provide next-generation range and robustness while addressing limitations of current lidar and radar based approaches for ADAS and autonomous driving.

    The ability to estimate the distance of an object is a fundamental capability for ADAS and automated driving. It allows the vehicle to understand where things are in its surroundings in order to know when to perform a lane change, help park a car, issue a warning to the driver, or automatically brake in an emergency situation such as for debris on the road. This is accomplished today by various types of sensors, such as lidar, radar, and stereo or mono cameras, and edge software that interprets the sensor information to determine distance to important objects, features, or obstacles in front and around the vehicle.

    Unfortunately, each of the current approaches have limitations that hamper safe operation in all conditions. Lidar has limited effective range (up to 200m) due to decreasing point density the further away an object is, resulting in poor object detection capabilities, and low robustness in harsh weather conditions such as fog or rain due to backscatter of the laser. It is also costly, currently in the hundreds to thousands of dollars per sensor. Radar has good range and robustness but poor resolution, also limiting its ability to detect and classify objects. Today’s stereo camera approaches can do a good job of object detection but are hard to keep calibrated and have low robustness, and mono cameras have many issues resulting in poor depth estimation.

    Eos Robust Depth Perception Software addresses these limitations by robustly providing dense depth together with accurate perception capabilities to determine distance and elevation even out to long distances (1km) and identify objects, pedestrians, or bicyclists, and even lost cargo or other hazardous road debris to further improve driving safety. These modular capabilities provide rich 3D scene reconstruction and provide a highly capable and cost-effective alternative to lidar, radar, and today’s stereo approaches.

    Eos accomplishes this with:

    • a multi-camera approach supporting a wide baseline between the cameras, even beyond 2m, especially useful for long-range applications such as trucking
    • flexible support of up to 8MP automotive camera sensors and any field of view for forward, rear, and surround configurations
    • real time adaptive calibration to address vibration and movement between the cameras or misalignments while driving, historically a key challenge for wide-baseline configurations
    • an efficient embedded implementation of Algolux’s novel end-to-end deep learned architecture for both depth estimation and perception
    • the ability to detect and determine distance for typical road objects and even unknown road debris

    Algolux has proven its Eos depth perception performance in OEM and Tier 1 engagements involving both trucking and automotive applications in North America and Europe. Visit www.algolux.com to learn more and schedule an evaluation.

    About Algolux

    Algolux is a globally recognized computer vision company addressing the critical issue of safety for advanced driver assistance systems and autonomous vehicles. Our machine-learning tools and embedded AI software products enable existing and new camera designs to achieve industry-leading depth perception performance across all driving conditions. Founded on groundbreaking research at the intersection of deep learning, computer vision, and computational imaging, Algolux has been repeatedly recognized at industry and academic conferences and has been named to the 2021 CB Insights AI 100 List of the world’s most innovative artificial intelligence startups.

    Dave Tokic, VP Marketing and Strategic Partnerships
    pr@algolux.com

    Source: Algolux Inc.

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  • Horrocks Engineers and Blyncsy Partner to Bring Artificial Intelligence to Our Roadways

    Horrocks Engineers and Blyncsy Partner to Bring Artificial Intelligence to Our Roadways

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    Machine Vision AI to offer replacement for LIDAR for Cities, Local Governments and Departments of Transportation

    Press Release



    updated: Mar 16, 2022

    Horrocks Engineers is partnering with Blyncsy to roll out the use of AI-powered computer vision on roadways.

    Blyncsy’s Payver technology and Horrocks’ insights will allow a smart and streamlined process for Departments of Transportation, Cities, Local Governments and other agencies to collect data on safety-critical transportation issues and to extend the useful life of their infrastructure quickly and efficiently.

    Horrocks currently uses LiDAR technology to scan and survey roadways. However, they will now be offering Blyncsy’s Payver technology to monitor assets on highways and roads as an additional option.

    This new method of gathering asset data collection and roadway analysis is more efficient than LiDAR technology in many ways. Not only is Payver 25% the cost of LiDAR, it also takes only 5% of the time. It also saves 66-man hours and 2,000 pounds of CO2 per 1,000 miles surveyed. Blyncsy’s Payver technology utilizes crowdsourced images from dash cameras that are already inside thousands of cars on our roadways. By uploading and segmenting images using machine learning algorithms, Payver is able to automatically detect anything from pavement cracking to paint line degradation. This AI technology is able to detect anything the human eye can see and send insights directly to an agency’s workflow, giving clients a high level of situational awareness into the condition of their roadways.

    Horrocks has surveyed hundreds of miles of state and local roadways and are leaders in using new survey technologies. This new partnership with Blyncsy is proof of this.

    “We are excited to be partnering with a company that is so focused on investing in innovative technologies to deliver faster, smarter services to its customers. It’s important to recognize that these kinds of innovations are what ultimately will get our clients their data faster and allow them to make better decisions based on those insights,” said Mark Pittman, founder and CEO of Blyncsy.

    This partnership will allow for smarter and more efficient transportation management for the drivers of tomorrow.

    Source: Blyncsy, Inc.

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  • MicroElectronicDesign Launches tinyLiDAR SafeDistance as ‘Masks Alone Cannot Stop the Pandemic’ (Dr Tedros Adhanom Ghebreyesus, WHO Director-General)*

    MicroElectronicDesign Launches tinyLiDAR SafeDistance as ‘Masks Alone Cannot Stop the Pandemic’ (Dr Tedros Adhanom Ghebreyesus, WHO Director-General)*

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    tinyLiDAR SafeDistance is a New High-Tech Personal Tool that uses LiDAR to Maintain Proper Physical Distancing and Help Stop the Spread of COVID-19

    Press Release



    updated: Jul 28, 2020

    ​​​​​​​​​MicroElectronicDesign has created a new social distancing device called SafeDistance. This key fob size device quickly provides visual indication of the measured distance by the color of its LED. Like a traffic light, the device shows Green for 2m (6.6feet) or greater, Red for under 1m (3.3feet), and Yellow in between. Based on micropower Light Detection and Ranging (LiDAR) technology, it’s more accurate and lower cost than radio-based solutions such as Bluetooth and Ultra-Wide Band (UWB). The device is currently in the fundraising stage at Indiegogo with a short, fixed funding campaign. Visit https://igg.me/at/safedistance or www.safedist.me for more information.

    “It was heartbreaking to see families who were left devastated by the COVID-19 virus,” explains Dinesh Bhatia, Principal Design Engineer at MicroElectronicDesign. “With cases surging around the world we were obsessed and determined to create a personal device that would be affordable, easy to use and effective at improving physical distancing. The result is tinyLiDAR SafeDistance.”

    As Dr Tedros said: “Masks alone cannot stop the pandemic. Countries must continue to find, test, isolate and treat every case and trace every contact. Mask or no mask, there are proven things all of us can do to protect ourselves and others – keep your distance …”*

    “It’s just common sense,” continues Dinesh. “Staying more than 2m or 6.5feet away will dramatically reduce your chances of getting COVID. You can see this in the recent experimental results from Dr Davis.”

    Dr Richard Davis, who is the clinical microbiology lab director at Providence Sacred Heart Medical Center in Spokane, Washington, tweeted a series of photos that showcased two demonstrations aimed at understanding how effective face masks are at blocking respiratory droplets from an individual’s mouth, while also illustrating the importance of social distancing.

    “I set open bacteria culture plates 2, 4 and 6 feet away and coughed (hard) for ~15s. I repeated this without a mask,” Davis wrote.

    The pictures showed that standing two feet apart with no mask practically covered the Petri dish with bacteria. Davis’ respiratory droplets also managed to land on the dish at four feet away but were reduced to scarce amounts at six feet.

    “Having proof like this makes you wonder why people don’t take physical distancing seriously,” adds Dinesh. “Even if the correct markers are not in place, tinyLiDAR SafeDistance will enable you to maintain the proper safe physical distance by the mere press of a button. Our goal is to make this generally available as a standard tool to help stop the spread of COVID-19. We’re ready for production now and are looking for backers to join us in improving the state of physical distancing around the world.” 

    Reference:
    *https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19—6-april-2020

    Media Contact:
    Sabeena Taharally
    Phone: 408-598-1657
    Email: info@microelectronicdesign.com
    https://www.safedist.me

    Source: MicroElectronicDesign, Inc.

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