Automating business processes, gaining insights through data analysis, interacting with customers and employees… Today, AI is significantly enhancing productivity and driving competitive advantages. NVIDIA Jetson is an advanced platform for autonomous machines and other embedded applications, offering exceptional AI performance to help various industries create groundbreaking AI products, drive business transformation, and ignite infinite development inspiration.
This article features several NVIDIA blogs, reviewing the stunning technological iterations and diverse application scenarios of NVIDIA Jetson over the past year!
Empowering Jetson Section
The new NVIDIA Jetson Orin NX 16GB significantly enhances edge AI performance.
The Jetson Orin NX 16 GB module offers unparalleled performance and efficiency, making it the perfect choice for small, low-power robots and autonomous machines, including drones and handheld devices. This module can easily be used for advanced applications in manufacturing, logistics, retail, agriculture, healthcare, and life sciences, all packaged in a highly compact and energy-efficient design.
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“The New NVIDIA Jetson Orin NX 16GB Significantly Enhances Edge AI Performance“
GTC23 | Developing AI Robots and Smart Vision Systems with NVIDIA Jetson Orin Nano Developer Kit
The NVIDIA Jetson Orin Nano Developer Kit sets a new standard for creating entry-level AI robots, smart drones, and intelligent vision systems while simplifying entry into the NVIDIA Jetson Orin Nano series. This compactly designed development kit, with numerous connectors and up to 40 TOPS of AI performance, is ideal for turning concepts into reality.
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“GTC23 | Developing AI Robots and Smart Vision Systems with NVIDIA Jetson Orin Nano Developer Kit”
NVIDIA Launches Jetson AGX Orin Industrial Module to Support Edge AI
The Jetson AGX Orin industrial module provides higher levels of computing power in harsh environments, extending the capabilities of the previous generation NVIDIA Jetson AGX Xavier industrial module and the commercial Jetson AGX Orin module, delivering server-level performance for enhanced systems.
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“NVIDIA Launches Jetson AGX Orin Industrial Module to Support Edge AI”
Deploying YOLOv5 on NVIDIA Jetson Orin using cuDLA: From Quantization-Aware Training to Inference
One of the key components of the NVIDIA Jetson Orin platform is the second-generation Deep Learning Accelerator (DLA), a dedicated deep learning inference engine that provides one-third of the AI computing power on the AGX Orin platform. This article will delve into how embedded developers using the Orin platform can deploy deep neural networks (DNNs) with reference to YOLOv5 from a technical perspective.
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“Deploying YOLOv5 on NVIDIA Jetson Orin using cuDLA: From Quantization-Aware Training to Inference”
Optimizing Power with NVIDIA Jetson
When using embedded systems like Jetson modules, it is essential to optimize applications based on power distribution and computing resources. Monitoring becomes crucial to avoid performance and thermal throttling issues. Jetson modules come equipped with GPUs, CPUs, and various AI accelerators, along with efficient Power Management Integrated Circuits (PMICs), voltage regulators, and power trees for power efficiency optimization.
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“Optimizing Power with NVIDIA Jetson”
Playing with Jetson Section
Maker Kris Kersey Fully Recreates Superhero Helmet and Its Functions Using NVIDIA Jetson
Kris Kersey is an embedded software developer, a host of an educational YouTube channel, and a comic and cosplay enthusiast. In his first project, he used the NVIDIA Jetson edge AI and robotics platform to combine these interests and expertise, fully recreating the superhero helmet from his favorite Marvel movie, “Iron Man”.
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“Maker Kris Kersey Fully Recreates Superhero Helmet and Its Functions Using NVIDIA Jetson”
Software Engineer Kirk Kaiser Develops an Autonomous Skateboard Ramp Using NVIDIA Jetson
Kirk Kaiser has loved playing the video game “Paperboy” since childhood. In the game, players take on the role of a bicycle-riding paperboy who encounters various obstacles, such as ramps in the middle of the road. Using the NVIDIA Jetson edge AI and robotics platform, Kaiser developed an autonomous skateboard ramp project inspired by “Paperboy”.
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“Software Engineer Kirk Kaiser Develops an Autonomous Skateboard Ramp Using NVIDIA Jetson”
A Robotics Student Develops an Autonomous Wheelchair Using NVIDIA Jetson
A developer named Kabilan KB applies autonomous navigation functions to a wheelchair, helping people with disabilities achieve a higher quality of travel experience. This undergraduate student from Karunya Institute of Technology in India is advancing his autonomous wheelchair project using the NVIDIA Jetson edge AI and robotics platform.
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“A Robotics Student Develops an Autonomous Wheelchair Using NVIDIA Jetson”
NVIDIA Jetson Monthly Project: Recognizing Birds Through Sound
A research team from the University of Marburg in Germany designed a method for quickly identifying bird species and monitoring local biodiversity. They used audio captured by a portable device equipped with the NVIDIA Jetson Nano Developer Kit.
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“NVIDIA Jetson Monthly Project: Recognizing Birds Through Sound”
The UK Nonprofit Organization Conservation AI Achieves Significant Advances in Global Endangered Species Threat Detection
AI can help track the rarest and most elusive species in real-time, enabling wildlife protectors to safeguard them from poachers, fires, and other threats. The UK nonprofit organization Conservation AI uses the NVIDIA Jetson platform and Triton inference server to detect threats to over 50 species, including pangolins and rhinos.
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“The UK Nonprofit Organization Conservation AI Achieves Significant Advances in Global Endangered Species Threat Detection”
NVIDIA Supports Saildrone in Leading Fully Autonomous Ocean Monitoring
Headquartered in the San Francisco Bay Area, Saildrone develops autonomous unmanned surface vehicles (USVs) equipped with various sensors. The data collected is processed by the NVIDIA Jetson module at the edge, using NVIDIA’s software development kit for intelligent video optimization of prototypes. Saildrone aims to make ocean intelligence collection economical and efficient, providing data collection systems for science, fisheries, weather forecasting, ocean mapping, and maritime safety industries.
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“NVIDIA Supports Saildrone in Leading Fully Autonomous Ocean Monitoring”
Harnessing Sunshine: Sunswift Racing Team Shines in the World Solar Challenge
In this year’s largest global solar car competition, the Sunswift Racing Team from the University of New South Wales excelled. Nearly 100 teams participated in the competition. By utilizing NVIDIA Jetson Xavier NX for energy optimization, the Sunswift 7 car from the University of Sydney emerged victorious in this “energy-efficient race”.
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“Harnessing Sunshine: Sunswift Racing Team Shines in the World Solar Challenge”
Conclusion
NVIDIA Jetson can achieve powerful AI capabilities with different combinations of performance, energy efficiency, and form factors to meet the needs of various industries. At the same time, NVIDIA has built a strong Jetson partner ecosystem, providing software, hardware design services, and ready-to-use compatible products ranging from carrier boards to complete systems, exploring more AI possibilities in the embedded computing field through AI embedded edge devices!
GTC 2024 will be held from March 18 to 21, 2024, at the San Jose Convention Center in California, USA, with an online conference also available during the same period. Click “Read the Original” orscan the QR code on the poster below to register for the GTC conference immediately.
