ETAS Embedded AI Coder

The Embedded AI Coder is an innovative AI deployment tool you can use to translate artificial neural networks into embedded C-code. The coder facilitates development work by generating safe codes for hardware targets in a resource-saving manner, for example for cost-effective microcontrollers and safety-relevant systems for the automotive, medical technology, and aviation industries.

Your benefits

Any hardware, any tool chain

No need for special libraries and hardware accelerators, Embedded AI Coder generated code can be deployed to any device.

Resource-efficient and cost effective

Minimizing resource consumption on highly constrained embedded systems.

Compliant with relevant safety requirements

Compliant with automotive and functional safety requirements such as ISO26262 and MISRA.

Features

Ease of Use

Software-as-a-service solution for fast onboarding
Web UI to upload model, change code generation settings and generated code
Rest API to call it from your CI/CD toolchain

Broad neural network and hardware support

The coder works for various target hardware and is compatible with commonly used layers of neural networks: Batchnorm, Convolutions, Depthwise Convolutions, LSTM, Fully Connected, Elementwise Add, Sub, Mul, Softmax, Relu, Leaky Relu, Logistic, Padding, StridedSlice, Tanh, MaxPooling, AveragePooling and TransposeConv. It supports the data types int8 and float32.
Hardware targets range from tiny microcontrollers to powerful microprocessors with various architectures (ARM Cortex-M, ARM Cortex-A, vendor-specific architectures).

Documentation function for high transparency

The Embedded AI Coder generates comprehensible, detailed code documentation.
It offers traceability in the event of an error (logging) and provides easy-to-understand error messages.

Wide range of possible applications

Our coder is ideally suited for smart sensor and smart actuator systems, safety-critical systems in the automotive, medical technology, and aerospace sectors, and AI on small hardware systems.
You can use it for cost-effective µC targets and complex, safety-critical applications on embedded devices.

High performance and resource efficiency

Bosch submitted results at the MLPerf™ Inference Tiny benchmark
Among state-of-the-art results in all categories
Best-in-class memory efficiency

See Benchmark portal with comparable tools and background information for comparison.

Safety compliance

The Embedded AI Coder complies with all automotive and functional safety requirements, such as ISO26262 and MISRA.
It generates secure, numerically correct code free of runtime errors.

Easy development of embedded C-code

Graphic shows workflow of embedded AI coder.

Our Embedded AI Coder builds a bridge between the AI and hardware world, making it possible to generate embedded C-code without the help of embedded software experts. In contrast to handwritten code, it saves companies high development costs and resources. This is particularly advantageous in view of today's typical rapid development cycles and frequently changing code requirements.

Client use cases with our Embedded AI Coder

In the automotive industry:

Cost savings through virtual sensors (i.e., AI algorithms that replace physical sensors) in braking systems, steering systems, engine management, etc.
Tire pressure monitoring
Early damage detection
Driving assistance systems, for example ultrasonic parking sensors
Driver monitoring systems (mandatory by law from July 2024)

Outside the automotive industry: