Edge AI Solutions
Connecting AI to the real world
Edge AI is a key enabler for digital transformation across manufacturing, cities, agriculture, retail, healthcare and more. The EDGE AI FOUNDATION is the world's largest community of edge AI developers, technology makers and academia. Use the resources on this page to learn more and find support for your own edge AI transformation.
What is Edge AI?
Edge AI, inclusive of physical AI, embodied AI, and tinyML, means the deployment of AI algorithms and models directly on local edge devices to enable real-time data processing and responses without constant reliance on cloud infrastructure. This can range from sensor to server, although we typically define “edge” as computing outside the multi-tenant data center. In layman’s terms, it’s “AI in the real world.”
Browse the full catalog of certifications at https://learn.edgeaifoundation.org
Edge AI in Residences & Homes
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Smart Fall Detection (Ageing in Place): Using on-device processing, a camera with localized edge AI can analyze gait and balance. This allows the system to detect and respond to a fall immediately and locally, without needing to send sensitive video data to the cloud, protecting privacy while ensuring safety.
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Edge Security (Safety and Security): An exterior security camera with edge AI processing can identify a ‘human’ vs. an animal or vehicle directly on the device. This provides real-time alerts for security threats (e.g., ‘Human Detected (99% Confidence)’) with near-zero latency, significantly improving security response.
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Local Smart Home Control (Convenience): An intelligent dashboard using edge AI can learn a resident’s daily routines and optimize environment settings like HVAC and lighting locally. By processing usage patterns on the device (e.g., ‘Local Learning: User Patterns Detected’), the system makes proactive adjustments for comfort and energy efficiency without sending data to the cloud.
Edge AI in Manufacturing
- Real-time Quality Control: Edge AI will be deployed directly on the production line cameras and sensors to spot product defects instantly (low latency) and stop the conveyor belt before a faulty item proceeds. This reduces waste and costs (economics).
- Predictive Maintenance: Machines and robots will use on-device intelligence to monitor their own health and predict a failure with greater accuracy, allowing for maintenance to be scheduled precisely, avoiding costly downtime (reliability).
- Worker Safety: Edge-based vision systems can immediately detect if a worker is in a hazardous zone or not wearing proper safety gear, triggering an immediate alert without delay.
Edge AI in Defense / Aerospace
- High-Security & Classified Operations: Data is never transmitted over a network when processed on the edge device, which is essential for classified missions and maintaining a secure perimeter (privacy, reliability).
- Disaster Response and Remote Operations: Systems must function reliably in damaged or remote environments where communication infrastructure is down or non-existent (reliability).
- Real-time Situational Awareness: Edge AI on body-worn cameras or vehicles can process and fuse sensor data locally to provide personnel with immediate, mission-critical insights in the field (low latency).
Edge AI in Mobility
- Autonomous Vehicle Decision-Making: For self-driving cars, every millisecond counts. Edge AI on the vehicle is non-negotiable for critical decisions like emergency braking, which cannot wait for a cloud round-trip (low latency).
- Disconnected Operation: Vehicles operating in areas with poor or no cellular coverage can remain fully autonomous and reliable (reliability).
- Personalized In-Cabin Experiences: Features like driver monitoring, gesture control, and personalized settings are processed on-device to ensure user data remains private and the response is immediate (privacy, low latency).
Edge AI in Cities
- Smart Streetlights Keep Pedestrians Safe Streetlights equipped with built-in cameras and sensors can instantly detect when someone is about to cross the street. Instead of sending that data to a distant server, the streetlight’s own computer immediately changes the traffic signals or flashes warnings to approaching cars, keeping walkers safe in real time.
- Self-Driving Shuttles Make Split-Second Decisions Autonomous public buses have their own built-in “brains” that constantly map the road and identify obstacles. Because the vehicle processes all this information right on board—without relying on an internet connection to the cloud—it can make instant, safe driving decisions to avoid accidents.
- Lampposts Act as Neighborhood Air Quality Monitors Small sensor hubs attached to local lampposts constantly check the air for pollution, like smog or high CO2 levels. Rather than sending all the raw data away to be analyzed elsewhere, the device itself instantly spots sudden drops in air quality and sends out an alert for that specific neighborhood.
Edge AI in Retail
- Loss Prevention and Inventory: Cameras with embedded Edge AI can monitor shelves and checkout areas to instantly detect theft or low stock. This processing is done locally, reducing the bandwidth needed for security footage (bandwidth).
- Personalized Shopping: Digital signage can recognize and react to customers’ presence or behavior in real-time to display targeted promotions, with all sensitive data processed and immediately discarded on the edge device (privacy, low latency).
- Frictionless Checkout and Smart Carts: Smart shopping carts or autonomous checkout gates use local computer vision and weight sensors to instantly identify items as customers pick them up. Processing this data directly on the cart or the gate ensures immediate feedback for the shopper and allows the system to function smoothly even if the store’s main internet connection is slow or drops (low latency, offline reliability).
Edge AI in Food Service / QSR
- Automated Order Accuracy: AI vision systems in drive-thrus or on prep-lines can instantly verify that orders are assembled correctly, catching errors before the customer receives them (low latency).
- Equipment Monitoring: Edge sensors on fryers, ovens, and refrigerators can monitor performance and predict maintenance needs, ensuring food quality and reducing costly breakdowns (reliability, economics).
- Speed and Efficiency: Analyzing kitchen and counter workflow patterns locally allows for immediate, on-site insights into bottlenecks to keep service as fast as possible.
Edge AI in Agriculture
- Precision Farming: Drones and remote sensors in fields use Edge AI to analyze crop health, identify weeds or pests, and determine precise watering/fertilizer needs—all without requiring constant, high-bandwidth connectivity across large farms (reliability, bandwidth).
- Autonomous Robotics: Edge AI enables automated tractors and harvesters to navigate, adapt to field conditions, and perform tasks without a constant connection to a central server (autonomy, reliability).
- Livestock Monitoring: Wearable sensors on animals can process biometrics locally to instantly flag health issues, saving battery life and operating reliably even in remote pastures (economics, reliability).
Edge AI in Med Tech
- Real-Time Surgical Guidance: During complex neurosurgery, an AI model running directly on surgical equipment analyzes microscope feeds in real-time, identifying critical structures like blood vessels and nerves with millisecond latency.
- Continuous Glucose Monitoring with Predictive Alerts: A wearable insulin pump uses on-device AI to learn an individual diabetic patient’s unique patterns—meals, exercise, stress responses. It predicts dangerous blood sugar drops 30-45 minutes before they occur and automatically adjusts insulin delivery, all without internet connectivity.
- Seizure Prediction and Prevention: An implantable or wearable device continuously monitors brain activity patterns and detects the subtle electrical signatures that precede epileptic seizures by 5-10 minutes.
Our Solution Partners
Worldwide
embedUR systems Inc
embedUR is an embedded systems leader, based in Silicon Valley, priding itself on accelerating product time-to-market and reducing engineering risk. Over the last two decades, we have earned an enviable reputation for on-time delivery and have become an embedded partner of choice for some of the world’s largest Telecom and network equipment companies and silicon vendors. From residential gateways to IoT sensors to cloud IoT management systems, embedUR solutions are deployed on 10s of millions of devices. ModelNova is our groundbreaking all-in-one Model Zoo and IDE for Edge AI development. It simplifies and accelerates Edge AI development and streamlines Edge AI product development, enabling rapid prototyping and deployment of intelligent applications on edge devices, in a fraction of the time it used to take to develop Edge AI solutions from scratch.
Worldwide
AVNET
A global leader in technology distribution and supply-chain solutions, Avnet empowers innovators with components, design expertise, and logistics support that accelerate product development and deployment. With deep experience across embedded systems and connected devices, Avnet helps enable scalable, end-to-end edge AI solutions from prototype to production.
Worldwide
Gorilla
Headquartered in London U.K., Gorilla is a global solution provider in Security Intelligence, Network Intelligence, Business Intelligence and IoT technology. We provide a wide range of solutions, including, Smart City, Network, Video, Security Convergence and IoT, across select verticals of Government & Public Services, Manufacturing, Telecom, Retail, Transportation & Logistics, Healthcare and Education, by using AI and Deep Learning Technologies. Our expertise lies in revolutionizing urban operations, bolstering security and enhancing resilience. We deliver pioneering products that harness the power of AI in intelligent video surveillance, facial recognition, license plate recognition, edge computing, post-event analytics and advanced cybersecurity technologies. By integrating these AI-driven technologies, we empower Smart Cities to enhance efficiency, safety and cybersecurity measures, ultimately improving the quality of life for residents.
Europe
Softeq
We help small, medium, and large enterprise clients develop smart, connected solutions leveraging AI/ML, IoT, wearables, computer vision, industrial automation, and robotics. Founded in 1998, Softeq is a global full-stack hardware, firmware, and software engineering company. With offices around the globe and hundreds of in-house engineers Softeq helps develop custom technology solutions for clients including many Fortune 50 companies in consumer electronics, automotive, energy, healthcare, manufacturing, media and entertainment, and many more verticals. Find out why our promise is ‘We Deliver’.