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Seoul Robotics introduced Endeavor, the latest iteration of the company’s plug-and-play LiDAR perception system. This all-in-one deployment kit is equipped with SENSR, the company’s proprietary perception software that uses deep learning to analyze and understand 3D data, as well as LiDAR sensors and a graphical processing unit. Endeavor can connect up to eight 32-beam rotating sensors at one time, capturing a surface area of up to 50,000 square meters, according to Seoul Robotics.
Endeavor can mix and match different makes and models of LiDAR, as well as 3D sensors from different brands. This versatility allows the system to be configured to a customer’s specific needs, making it an all-purpose solution for a range of applications, including autonomous vehicles and much more.
“Countless companies and public organizations can benefit tremendously from having access to 3D insights, but affordability and flexibility were historically barriers to entry,” said Jerone Floor, VP of products & solutions at Seoul Robotics. “We’re disrupting this landscape by democratizing access with a cost-effective, all-in-one deployment system that is ready to install out of the box. With Endeavor, companies can tap this unparalleled awareness to create more efficient businesses and cities, improve safety, and fuel mobility.”
By providing all key components in one solution, Seoul Robotics is shortening the time to deployment and making this technology more accessible to industries that often face bandwidth and cost constraints. Key engineering capabilities include:
- Centralized computing hardware with multiple network ports so the system does not require any additional hardware to attach multiple sensors. This ensures easier maintenance, less computing power and simpler data presentation.
- Power over Ethernet, making it cost-effective for both indoor and outdoor applications because it does not rely on providing an external power supply to LiDAR sensors.
- Endeavor reduces raw sensor data bandwidth by over 95%, enabling it to be deployed in both rural and urban environments regardless of broadband capabilities.
- Enhanced customizations at request, including a deep learning model and either four- or eight-port configurations.
The backbone of this solution is SENSR, the company’s 3D perception software, with the ability to leverage deep learning. SENSR can detect more than 500 objects at one time within a four-centimeter radius, up to 200 meters, and predict up to three seconds in advance, according to the company.
SENSR is equipped with weather filtering, which Seoul Robotics claims enables it to detect and track fast-moving, partially obstructed, or clustered objects even in heavy snow or rain. The sensor-agnostic perception software is available worldwide.
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