Discover how cutting‑edge technologies like NVIDIA Jetson enable real‑time insights
COME TO OUR world
Welcome to our world of intelligent innovation, where advanced vision systems and AI computing come together to power the next generation of smart machines.
Unlocking Real‑Time Intelligence with NVIDIA Jetson Edge Computing
Delivering powerful AI processing at the edge for smarter, faster, and more efficient autonomous devices.
Accelerating Autonomous Machines with NVIDIA Jetson Platform
Scalable AI computing for robotics, computer vision, and industrial automation.
Transforming Industries with NVIDIA Jetson Edge AI Technology
From smart cities to agriculture, Jetson enables efficient autonomous systems.
Powering the World's Autonomous Machines
In the pages that follow, we’ll explore examples of how NVIDIA ecosystem partners and customers use the NVIDIA® Jetson™ platform to transform their industries and improve everyday life. Our ecosystem partners help to bring powerful edge AI applications to market faster with the full range of NVIDIA Jetson solutions.
Fleet Management EGK and AVerMedia
Fleet management is the process that’s used by companies to care for and monitor their fleet of commercial motor vehicles. It involves a variety of tasks that include tracking vehicles, improving driver safety and health, and vehicle maintenance. EGK partners with AVerMedia to drive more safely on the road and improve efficiency through AVerMedia’s NO135K AI Box PC, which is powered by the small form-factor and performance-driven NVIDIA Jetson Nano™ modules. The data captured by the AI Box PC can also be sent to a remote site, notifying staff of possible safety issues and whether operational maintenance is needed.
“Partners and customers trust NVIDIA Jetson as the right partner due to the core technology of video-audio encoding, decoding, and DeepStream SDK for intelligent video analytics-the key building blocks for a complicated systems integration project.”
- Kevin Chen, president at EGK.
Edge AI Revolutionizes 6 Industries
Transportation and Logistics
- Fleet Management
- Warehouse Autonomous Mobile Robots
- Cargo Receiving Inspection
- Railway AI
- Smart Picking and Sorting
- Marine and Dock Safety
Healthcare and Life Science
- Stroke Diagnostics
- Medical Image Assistants
- Digital Pathology
- Patient Care
- Surgical Robots
- Digital Health Monitoring
Smart Retail
- Last Mile Delivery Robot
- Automated Checkout
- Inventory Management
- Store Traffic Analytics
- Shopper Analytics
- Digital Signage
- Social Distancing Detection
Industrial and Manufacturing
- Industrial Inspection & Quality Control
- Factory Floor Video Analytics
- Remote Intelligent Operation
- Perceptive Robotics
- Materials Handling
- Drone Field Inspection
- Preventive Maintenance
Smart City
- Smart Traffic Poles
- Roadside Sensor Fusion
- Airport Management
- Traffic Flow Management
- Number Plate Detection
- Perimeter Protection
- Suspicious Activity Monitoring
- Smart Parking Systems
Agriculture
- Autonomous Tractors
- AI Harvest
- Robotic Beehives
- Autonomous Mowing
- AI Pollinators
- Livestock Health Management
- Selective Spraying Systems
“NVIDIA is a global technology pioneer, and we are proud that our teams are working hand in hand to innovate in the AMR space and offer smart robotics systems. We are confident that the combination of NVIDIA’s AI computing excellence and our AI & robotics expertise will create the most powerful and effective solutions on the market. Partnering with technology giants is part of our commitment to building a guiding technology ecosystem to support the new era of supply chain management.”
- Hongbo Li, Co-founder and CTO at Geek+
Autonomous Mobile Robots Geek+
Geek+ is an intelligent robotics company shaping the smart logistics revolution. At Geek+, they develop autonomous mobile robots (AMRs) that handle various tasks, including picking, moving, and sorting. They’ve led the global AMR market share for three consecutive years, being declared the world’s no.1 AMR leader. Geek+’s Robotics and AI R&D team is working with NVIDIA’s AI engineers on control vision and deep learning algorithms to power the company’s latest AMRs. The collaboration covers the full range of Geek+ products, including PopPick, RoboShuttle, and other robots.
Cargo Inspection Kargo and ConnectTech
Loading docks-slow, hazardous, and manual-account for 25% of manufacturing accidents. Trucks wait an average of 2.5 hours at these docks, slowing the supply chain and increasing human error risk at each step. Kargo’s sensor tower autonomously performs inspections on bulk palletized freight with a mix of sensors, edge-compute, and connectivity systems for a variety of industrial conditions. Smart loading docks use Kargo’s computer vision-sensing towers coupled with on-demand data analytics to detect labels, logos, expiration dates, temperature, dimensions, and more. As a result, real-time exceptions, overages, shortages, damages, and operations failures are easily tracked for all supply-chain stakeholders to review.
“Using the powerful NVIDIA Jetson AGX Xavier™, we can easily enable computeintensive towers to connect using 10G Ethernet within existing operational systems. These towers use machine learning at the edge to learn what’s important about freight and get better with age.”
- Sam Lurye, CEO at Kargo
- Reduces unloading time by 48%
- Provides real-time abnormality and damage detection
- Enables easy integration to existing ERP and WMS systems
NVIDIA Jetson
“We were able to get a prototype rolling in under six months thanks to the NVIDIA Jetson ecosystem. The same module is powerful enough to take us to production”
- Ben Stabler, Co-Founder at Parallel Systems
Railway AI Parallel Systems
Parallel Systems is decarbonizing freight by building a cleaner, automated rail future. Its zero-emissions, batteryelectric rail vehicles are more flexible than traditional trains, allowing railroads to open new markets, increase infrastructure utilization, and improve service. Each Parallel vehicle is powered by dual-redundant NVIDIA Jetson AGX Xavier modules on custom carrier boards.
Uses just 25% of the energy compared to a semi-truck and offers the lowest operational cost of any surface freight transportation mode
Provides autonomy that allows operators to increase the utilization and resiliency of today’s rail infrastructure, improving the quality of service
Enables a near-continuous flow of containers through terminals, reducing the waiting times associated with accumulating cargo and loading long trains
Defect Detection Landing AI
Landing AI’s flagship product, LandingLens, is an end-to-end MLOps platform guided by a data-centric AI approach to help manufacturers build, iterate on, and operationalise AI-powered visual inspection solutions. Data quality is the key to successful production line deployment. LandingLens, powered by the Jetson Xavier NX, makes it fast and easy for users to achieve optimal inspection accuracy and enables computer vision engineers to seamlessly train, test, and deploy deep-learning models on edge devices.
Enables customers to easily and quickly create, deploy, and scale industrial AI solutions
Reduces the overall AI project development time by up to 65%
Enhances visibility into quality control with the ability to track and manage the efficiency of all AI projects
“NVIDIA Jetson brings GPU performance that our customers rely on to deploy LandingLens‘ visual inspection solutions into their edge devices across all industries.”
- Kai Yang, Vice President at Landing AI
Why NVIDIA Jetson Leads Edge AI Platforms
High-Performance Edge AI Compute
Jetson modules integrate NVIDIA GPU architectures with CUDA, TensorRT, and cuDNN to deliver server-class AI performance in a compact, power‑efficient form factor. This enables real-time inference for complex vision, speech, and sensor fusion workloads directly at the edge.
End‑to‑End AI Software Stack
With the NVIDIA JetPack SDK, developers get a fully integrated stack: Linux for Tegra (L4T), CUDA, cuDNN, TensorRT, DeepStream, and container support. This dramatically reduces integration time compared to generic ARM boards or discrete accelerator cards.
Power‑Efficient, Deployment‑Ready Modules
Jetson platforms are optimized for performance‑per‑watt, enabling fanless, compact, and rugged designs. Compared to x86 + GPU solutions, they deliver significant reductions in power, thermal footprint, and BOM complexity for edge deployments.
Scalable Portfolio from Prototype to Production
From Jetson Nano to AGX Orin, the family offers a consistent software stack and pin‑compatible modules, allowing teams to start small and scale up compute without rewriting applications or redesigning the full system.
Industrial‑Grade Reliability & Security
Jetson offers long‑term software support, industrial SKUs, secure boot, and hardware‑accelerated security features, making it suitable for production deployments in regulated and safety‑critical environments.
Rich Ecosystem & Developer Community
A large ecosystem of SDKs, pre‑trained models, partner solutions, and an active developer community on NVIDIA Developer and GitHub accelerates time‑to‑market versus less mature edge AI platforms.
“We were able to scale up to 500 of our devices in a single Toyota factory because NVIDIA Jetsons allowed us to operate at the edge without the restraints of any cloud or bandwidth requirements.”
- Prateek Sachdeva, Co-founder & COO at Invisible AI
- Installs hundreds of edge AI cameras overnight with minimal IT resources and zero coding or engineering expertise required
- Measures hazardous ergo movement and maintains the privacy and security of your facilities with facial blurring, and all data is stored at the edge
- Achieves 98% real-time error-detection rate and prevents simple manual assembly errors with only a few minutes of setup
- Saves 16+ hours in root cause analysis with Smart Search functionality
Floor Video Analytics Invisible AI
In manufacturing, every minute counts. Being able to ramp up the manual process and avoid mistakes results in huge operational and safety improvements. Invisible AI takes a human-centric approach to automate manual work tracking using intelligent cameras and get results within minutes. Powered by NVIDIA Jetson, the Invisible AI platform offers a suite of vision AI applications to help industrial customers run accurate, reliable. and safe operations in manufacturing and assembly facilities.
Industrial Inspection Overview
Overview designs and develops inspection systems that use deep learning technologies for manufacturing complex goods. Its Snap Platform catches manufacturing errors that a human would miss or that would take dozens of humans watching a conveyor belt to see. Overview’s software-first approach combines with best-in-class technology on a continually evolving platform, providing customers with a solution that grows and scales with their business needs.
“As a single, continuously improving platform, the NVIDIA Jetson future-proofs our business with a rich ecosystem that is the perfect fit for Overview’s state-of-the-art computer vision platform.”
- Russell Nibbelink, Co-founder & Head of Engineering at Overview
- Easily build camera stations that support quality and traceability goals and simplify creating and maintaining algorithms
- Saved data and images are searchable and analyzed for instant availability
- Get up and running in as little as a week, with zero machine vision experience necessary
- Integrates with any infrastructure and communicates across networks
“NVIDIA Jetson’s platform can support the remote taking over and driving functions for UGVs very well in real time, which makes the self-driving vehicles safer and more reliable”
- Paul Yuan, Technical Director of the UGV business at TZTEK
- Reduces latency to 40ms from the camera data to the videos displayed on the screens of the remote driving simulator
- Provides platform independence, allowing humans to see the video both on the apps and the web browsers
Remote Intelligent Operation TZTEK
Unmanned ground vehicles operating in the field sometimes need to be taken over remotely by human drivers due to unexpected exceptions. In these situations, the video streams from the vehicle are transferred to the remote intelligent operating simulator through LTE or 5G Internet. The human driver observes the video streams and manipulates the steering wheel, providing a safe and controllable operation system. NVIDIA Jetson’s powerful video encoding ability, together with the strong DeepStream SDK and NVIDIA CUDA® acceleration toolkit, make the remote take-over and real-time remote driving easier with low latency.
Last-Mile Delivery Serve Robotics
Serve safely walks alongside pedestrians, navigates around fire hydrants, and respects our sidewalks to deliver your favourite anything, on-demand.
Serve sees the world as we do, using lidar and the most advanced sensors of any automated delivery rover. It creates a virtual picture of the world in real time and communicates with an interactive touch screen. All these capabilities are made possible by the NVIDIA Jetson platform.
“The Jetson platform has been crucial to the safety and efficiency of Serve’s autonomous robot.”
- Dmitry Demeshchuk, Cofounder & Head of Software
- Operates at commercial Level 4 autonomy
- Aggregates information from a range of sensors, improving safety and efficiency
- Adjusts speed and direction in real time, according to dynamic environment and static map information
- Automatically detects situations where human operator assistance is required and sends a request for help
Real-Time Intelligence at the Edge
Harness NVIDIA Jetson to power faster, smarter edge AI with efficient real-time processing for autonomous and connected devices.
“Our clients are achieving huge productivity savings and a really fast ROI. Thanks to our partnership with NVIDIA and the use of the Jetson platform, we can offer a really robust edge solution that is able to recognize any kind of product, offering a frictionless checkout experience.”
- Nil Salomó, Co-Founder & CEO of Proppos.
- Enables real-time food recognition and the ability to classify any product type
- Delivers 10X faster performance than the traditional checkout process
- Reduces queue time during peak operation hours
Automated Checkout Proppos
Proppos FastPay has a hybrid architecture that combines edge computing and cloud infrastructure. With NVIDIA Jetson, Proppos offers highly accurate, real-time food recognition at restaurants and an advanced analytics cloudbased platform for operations managers to show accurate forecasts and customer insights using machine learning. Proppos FastPay boosts restaurant profitability, increases productivity, and improves margins. Finally, thanks to the huge amount of data that Proppos FastPay generates, it can offer personalized shopping and nutritional experiences to end-customers.
Inventory Management Robot Simbe Robotics and Leopard Imaging
Leopard Imaging has developed a powerful imaging solution with the NVIDIA Jetson platform for Simbe Robotics to empower robot Tally to collect real-time on-shelf inventory data in stores. This imaging solution has optimized operational efficiency, boosted labor productivity, and improved sales margins. The Jetson platform enables Tally to process shelf data in real time on the edge, as well as make use of cloud resources.
“Leveraging the NVIDIA Jetson platform, Leopard Imaging worked with us on our custom high-definition CSI camera design and manufacturing every step of the way. Their customer support and technical expertise has been outstanding.”
- Durgesh Tiwari, VP Hardware Systems, R&D, at Simbe Robotics
- Increases performance with the Leopard Imaging best-inclass optical system, including autofocus, auto-exposure, and HDR camera systems
- Improves sensing capabilities as the first inventory robot with CV, ML, and RFID combined
- Delivers real-time sensor fusion and analysis
NVIDIA Jetson
performance and a broad ecosystem. Together, we enable smart city technologies
with LCFC intelligent manufacturing capabilities and NVIDIA edge AI platform.”
- Chuan He, Chief Executive Officer (CEO) at Business Group, LCFC
- Improves traffic flow, eases congestion, and ensures the safety of pedestrians and bicyclists
- Provides real-time data analytics and actions to help traffic management
- Enables intelligent parking and EV charging services
Smart Traffic Pole LCFC
Smart light poles are emerging as a key component in the development of smart cities globally. LCFC creates an edgeto-cloud smart pole system that can capture data on traffic, weather, and pollution levels through an array of sensors and provide real-time insights. These smart poles provide a compact, multifunctional, public lighting infrastructure that can also host telecom equipment for connectivity, cameras for public safety, environmental sensors, modems for wireless networking, digital billboards, electric vehicle chargers, and several other smart features. The solution has been deployed in many locations and acts as the next-gen smart city infrastructure integrating 5G networking and AI to support a variety of business applications.
Airport Management Assaia
The complex sequence of cleaning, restocking, and servicing a plane between flights (known as the turnaround) is effectively wasted time for an airline and airport. Compressing that time results in less delays and more airline profits. London Gatwick Airport (LGW) and airports around the world are partnering with ASSAIA to use NVIDIA Jetson AGX Xavier for accelerated video analytics and predictive analytics to improve turnaround times and reduce delays.
“NVIDIA Jetson – perfect balance between a powerful mainframe that lets you run
any pipeline and a robust piece of edge hardware that can be easily put wherever
needed.”
- Dmitry Chugreev, Chief Technology Officer (CTO) at Assaia
- Data-driven, optimized operations result in shorter aircraft taxi times, longer ground-power connections, and thus lower kerosene consumption and CO2 emissions
- Real-time information about when turnaround activities are falling behind schedule allows airlines to act faster and improve on-time-performance by as much as 11%
- Accurate, real-time data fuels airport automation, which allows airports and airlines to manage increasing traffic numbers without additional staff requirements
“NVIDIA Jetson platform significantly increases accuracy and performance of Recycleye’s high-speed sorting system with ground-breaking robotic automation.”
- Peter Hedley, Chief Technology Officer (CTO) at Recycleye
- Runs at 60FPS, which means higher-capacity sorting thanks to faster conveyor belt speeds
- Exceeds human performance in identifying, classifying, and sorting individual items on waste streams, with over 95% accuracy 24/7
- Enables recycling facilities to tackle more of the world’s waste at a fraction of the cost of existing systems
Waste Material Processing Recycleye
Global consumption is accelerating, with $2 trillion worth of materials thrown away each year globally, of which only 8% is recycled. Recycleye deploys AI-powered automated waste analysis and sorting systems to improve material recycling facility efficiency, cost, and speed. Their computer vision system detects and classifies items in the waste sorting process by material and object. It delivers high throughput and accuracy, as well as the ability to fit the computeintensive algorithms into space and power-constrained industrial environments using NVIDIA Jetson AGX Xavier.
Roadside Sensor Fusion and Perception JueFX Tech and MIIVII
For smart transportation systems in smart cities, the synergy between vehicles and roads is the key. It’s challenging to develop a vehicle-road cooperative system that delivers all-day and all-weather accurate perception. MIIVII Tech and JueFX Tech jointly build the all-in-one radarvision solution powered by NVIDIA Jetson AGX Xavier. The solution includes MIIVII EVO XAVIER equipment (AGX Xavierbased AI computer) and multiple sensors like cameras, mmWave radar, and lidar. This machine integrates the capabilities of different sensors for all-weather operation through the fusion perception algorithm developed by JueFX TECH. It can effectively improve situational awareness and enhance roadside safety.
“Due to NVIDIA Jetson’s outstanding performance and other rich features, which enable JueFX to create the world’s best sensor fusion and empower perception algorithm to an unprecedented level, we are excited to expand our technology collaboration with NVIDIA Jetson and integrate our data platform to empower multi-scenes autonomous driving. We look forward to working with NVIDIA Jetson to improve the efficiency and safety of our solutions.”
- Liu Bin, Co-Founder, JueFX
- Enhances precision, delivering centimeter-level accuracy positioning in real time
- Improves perception, integrating lidar and visual imaging technology to better perceive the distance of the vehicles and the whole scene
- Achieves ultra-low latency through microsecond clock synchronization
“If you are unsure how much computing power you need and are dealing with complex algorithms and AI in your product, NVIDIA Jetson AGX Xavier is your solution. It’s a powerful computing platform for massive calculations with low power consumption for edge AI applications.”
- Forough Khandan, Head of Product Development at EMVision
- Easily maneuvered just like a cart ultrasound system
- Speeds results, letting you complete a scan and produce quality images in just a few minutes
- Increases safety, as it doesn’t emit ionizing radiation, and is safe for frequent use
- Can be operated by any trained healthcare professional
Stroke Diagnostics EMVision Medical Devices (ASX:EMV)
EMVision’s products enable earlier clinical decision making and intervention, when every second matters. This breakthrough is made possible through the advance of a novel imaging modality using electromagnetic waves on the microwave spectrum. A powerful combination of physicsbased and data-driven algorithms is used to rapidly create quality images of the brain, with a neural net enhancing images with diagnostic decision support. EMVision’s portable brain scanner has been designed for use in environments where CT or MRI may not be accessible or practical. EMVision is initially tackling the immense health and economic burden of stroke, with adjacencies in traumatic brain injury and other time-sensitive neurological disorders.
Medical Image Assistant AZmed
AZmed is a French company founded in 2018 to improve doctors’ working conditions and patient care. The first solution developed by the company, Rayvolve, is a computer-aided diagnosis tool able to detect all types of fractures and chest pathologies on standard x-rays. It’s 100% integrated into a doctor’s workflow and allows sorting of exams by priority order.
- Automatically detects bone fractures and lung abnormalities
- Saves time by 36%
- Reduces diagnostic errors by 20%
“NVIDIA Jetson allows AZmed to deploy its solutions on-premise to keep data within hospitals while using GPU computational power. AZmed can thus provide an AI-aided diagnosis tool for hospitals in the most secure and fastest way possible.”
- Alexandre ATTIA , Chief Technology Officer (CTO) at AZmed
Smarter AI at the Edge
Empower devices with real‑time intelligence using NVIDIA Jetson edge computing performance.
Accelerate Autonomous Innovation
Jetson delivers powerful on‑device AI for faster, safer autonomous system decisions.
Efficient Intelligence for Every Device
Achieve high‑performance edge AI with compact, energy‑efficient NVIDIA Jetson platforms.
“The NVIDIA Jetson platform lets us focus on our core in HW and SW development, enabling complex algorithms and AI. With Jetson we make no compromise between the level of integration and computing power.”
- Janne Haavisto, CTO at Grundium
- Reduces scanning process time at large hospitals
- Provides the ability to conclude a pathology second opinion online in minutes rather than weeks
- Offers support by the cloud or used offline as a standalone solution for high-precision image processing
Digital Pathology Grundium
A global leader in advanced imaging technology, Grundium makes digital pathology and excellent professional diagnosis available for all. This is achieved by doing something that nobody else can: applying state-of-theart mobile technology powered by NVIDIA Jetson TX2 in diagnostic imaging.
Grundium designs and manufactures high-precision digital microscope scanners with a small footprint-roughly the size of a volleyball. The Grundium Ocus® scanner makes it really easy for pathologists to analyze tissue and fluid samples remotely, making healthcare faster and more affordable for everybody.
Patient Care Clinomic GmbH
Clinomic develops innovative solutions for critically ill patients. With Mona, an assistance and telemedicine system, Clinomic brings artificial intelligence directly to the patient’s bed to support doctors and nurses in the intensive care unit. An NVIDIA Jetson AGX Xavier module is included in each Mona device, giving it the on-board capabilities to process AI algorithms at the edge. Mona uses the GPU capabilities to process human speech, optimize data density, and provide prescriptive medical suggestions directly on the devices.
“With compact size and reliable hardware, NVIDIA Jetson Platform helps us design
products to make a real impact on the lives of critically ill patients.”
- Dr. Arne Peine and Dr. Lukas Martin, CEOs of Clinomic
- Keeps track of all clinical measures, assuring the best and most accurate treatment for patients and 200% average performance improvement compared to available computational units with same size
- Operates intuitively, using state-of-the-art AI and machine learning to compare the individual disease progression with checklists, guidelines, and treatment pathways to ensure legally required documentation of all measures
- Enables an interdisciplinary, site-independent cooperation via telemedicine, enabling a fast and professional exchange with other intensive care specialists at any time
NVIDIA Jetson
“With the global population expected to reach nearly 10 billion people by 2050, farmers have a steep challenge of feeding the world and they can’t do it alone. With less available land and labor, and many variables to work through, deploying and scaling advanced technology like autonomy is key to building a continually smarter, evolving, and more efficient farm. Our fully autonomous tractor, featuring two NVIDIA Jetson GPUs for quick and accurate image classification at the edge, will be on farms this year, supporting farmers in overcoming challenges and providing for our growing world.”
- Jahmy Hindman, Chief Technology Officer (CTO) at John Deere
- Communicates key information from the edge device, such as fuel level and abnormal alerts, and helps farmers to monitor everything in the field very closely
- Features an autonomous tractor with six pairs of stereo cameras, which enables 360-degree obstacle detection and the calculation of distance
- Uses a deep neural network to classify each pixel in approximately 100 milliseconds and perform autonomous driving and object detection
Autonomous Tractor John Deere
On farms, labor is always a challenge. But due to changes in weather patterns, labor is heavily needed only for a short period of time. A few years ago, Blue River Technologies began exploring commercial opportunities for autonomous vehicles that use computer vision technology fueled by the NVIDIA Jetson TX2. After the initial success of creating See & Spray machines, they were acquired by John Deere and continue innovating with new Jetson products. In CES 2022, they revealed a fully autonomous tractor with six pairs of stereo cameras, powered by Jetson AGX Xavier, to detect, identify, and make real-time management decisions about each plant in the field.
AI Harvest Harvest CROO
In response to an acute labor shortage in agriculture in the US, Harvest CROO has developed the first fully autonomous Harvester to pick strawberries. To meet this challenge, Harvest CROO is creating a harvesting service that automates the crop management, harvesting, and packing of strawberries and is currently in commercial trials.
“The NVIDIA Jetson TX2 has been valuable in our proprietary camera and robot controller development.”
- Bob Pitzer, Chief Technology Officer (CTO) at Harvest CROO
- Enables one Harvester to pick approximately eight acres of strawberries in a day
- Allows the solution to run both day and night, with 16 NVIDIA-powered, independently working robots under the Harvester
- Quickly inspects and data records every berry under the millions of plants on a commercial strawberry farm to see if they’re ripe and ready to pick
Edge Vision Powerhouse: Basler Cameras + NVIDIA Jetson
Combining industrial‑grade Basler cameras with NVIDIA Jetson edge AI modules delivers a complete, high‑performance vision platform for real‑time analytics, inspection, and autonomous systems.
Industrial‑Grade Image Quality
Basler cameras deliver high‑resolution, low‑noise imaging with precise sensor calibration, enabling Jetson to run advanced vision AI models on clean, reliable data – critical for inspection, robotics, and traffic analytics.
Seamless Integration with Jetson
Basler provides optimized drivers, SDKs, and reference designs for NVIDIA Jetson, reducing integration effort versus generic USB or IP cameras and enabling faster prototyping and deployment.
End‑to‑End Optimized Vision Pipeline
From sensor to GPU, the combination is tuned for low‑latency streaming, hardware‑accelerated image preprocessing, and AI inference on Jetson – ideal for edge deployments that require real‑time decisions.
Scalable from Single to Multi‑Camera Systems
Support for multiple interfaces and synchronized cameras allows building solutions from a single inspection point up to complex multi‑camera systems on the same Jetson platform.
Robust for Industrial Environments
Basler’s industrial camera portfolio combined with Jetson’s compact, low‑power modules enables reliable operation in harsh environments with vibration, temperature variation, and 24/7 duty cycles.
Faster Time‑to‑Market with Proven Pairing
Ready‑made reference designs, demo applications, and documented best practices for Basler + Jetson help teams move from PoC to production significantly faster than assembling disparate vision components.
“NVIDIA Jetson allows us to run world-class autonomy algorithms in a rugged outdoor environment on a limited power budget.”
- Jack Morrison, CEO at Scythe Robotics
- Durability that stands up to the off-road environments of commercial mowing: tough terrain, steep slopes, and intense weather conditions
- A sophisticated perception model with the high speeds required for critical safety needs of mowing
- Electric power for energy costs that are 80% less than traditional gas-powered mowers
Autonomous Mowing Scythe Robotics
Scythe M.52-the industry’s first all-electric, fully autonomous commercial mower-solves the two biggest challenges facing the US landscaping industry today: a chronic labor shortage and a massive pollution problem. NVIDIA Jetson sits at the core of M.52, powering the mower’s perception, cognition, and locomotion systems. The sensor fusion powered by NVIDIA Jetson makes for an even more robust perception system, which is critical for operating in dynamic outdoor environments.
Robotic Beehive Beewise
Bees are an integral part of the global infrastructure of farming. In fact, 30% of global food supplies are pollinated by bees. Unfortunately, about 35% of bee colonies have been collapsing annually for the past few years. Beewise develops an autonomous beehive that monitors the bees 24/7, identifies their needs, and applies treatment in real time, in the field. With the help of precision robotics and AI, every hive has its own beekeeper, 24/7, without any human intervention. In Beewise’s robotic hive, bees survive, thrive, produce honey, and pollinate much more effectively.
“Beewise provides a comprehensive solution to digitizing beekeeping and pollination, supported by hardware, software, and AI. However, we consider our solution as “software wrapped in tin”: the hardware is meaningless without the AI orchestrating everything. This is why our dependency on the Jetson is so strong; there was no other solution in the market that allowed us to save bees, at scale, in such a powerful yet cost-effective manner.”
- Saar Safra, Chief Executive Officer (CEO) at Beewise
- Reduces colony collapse from 35% in the industry to less than 8% in Beewise devices
- Yields increase by at least 50% in terms of both pollination and honey production
- Saves 90% manual labour compared with traditional hives (the 150-year-old-wooden-boxes) and manages the efficiency of all AI projects.
“NVIDIA Jetson allows us to run world-class autonomy algorithms in a rugged outdoor environment on a limited power budget.”
- Jack Morrison, CEO at Scythe Robotics
- Durability that stands up to the off-road environments of commercial mowing: tough terrain, steep slopes, and intense weather conditions
- A sophisticated perception model with the high speeds required for the critical safety needs of mowing
- Electric power for energy costs that are 80% less than traditional gas-powered mowers
- Enables one Harvester to pick approximately eight acres of strawberries in a day
- Allows the solution to run both day and night, with 16 NVIDIA-powered, independently working robots under the Harvester
- Quickly inspects and data records every berry under the millions of plants on a commercial strawberry farm to see if they’re ripe and ready to pick
Autonomous Mowing Scythe Robotics
Scythe M.52-the industry’s first all-electric, fully autonomous commercial mower-solves the two biggest challenges facing the US landscaping industry today: a chronic labour shortage and a massive pollution problem. NVIDIA Jetson sits at the core of M.52, powering the mower’s perception, cognition, and locomotion systems. The sensor fusion powered by NVIDIA Jetson makes for an even more robust perception system, which is critical for operating in dynamic outdoor environments.
Frequently Asked Question
What is Edge AI?
Edge AI refers to running AI models directly near the data source...
Why is NVIDIA Jetson suitable?
Jetson combines CUDA GPU acceleration with TensorRT and JetPack.
How do Basler cameras complement Jetson?
Basler cameras offer industrial-grade quality...
Power efficiency of Jetson
Jetson supports configurable power modes...
Advantages of JetPack + DeepStream
JetPack includes drivers; DeepStream enables analytics...
Multi‑camera systems
DeepStream can multiplex multiple streams...
Security of Jetson edge systems
Secure boot + hardware protection...
Reducing time‑to‑market
SDK support + integrations...
Quantized models
TensorRT enables FP16/INT8 optimization...
Starting prototyping
Install JetPack, connect camera, deploy model...