Intelligence at the edge
Bring machine learning closer to the sensors and systems that need it. ESL connects embedded software and AI capabilities to help products interpret their surroundings and respond in real time.
Explore an embedded AI project →Perception, decisions, action
Choose the data your product needs to understand, then shape an on-device approach around its compute, latency, power and connectivity requirements.
Help embedded products interpret image streams and visual data to support inspection, awareness and automated decisions.
Process signals locally so devices can recognize useful events and respond without relying on a constant cloud connection.
Combine readings from multiple sources and use compact machine-learning models to make timely, context-aware assessments on the device.
From signals to useful outcomes
Embedded AI needs to fit the whole product. We consider data, models and target hardware together as the solution takes shape.
Identify the signals, operating conditions and response the product needs, then agree on practical accuracy and latency goals.
Evaluate the inference approach against the available processor, memory, power budget and embedded software stack.
Bring the AI capability into the product software and test its behavior with representative data and target-device workflows.
Give your product a closer view
