The NXP eIQ™ Auto deep learning (DL) toolkit enables developers to introduce DL algorithms into their applications and to continue satisfying automotive standards. The eIQ Auto
software and accompanying tools within the toolkit help developers move quickly and easily from a development environment to full implementation of AI applications in automotive-grade embedded
Enabling Features of the eIQ Auto Toolkit
Interface to standard frameworks like TensorFlow, Pytorch, Caffe, and ONNX.
Prunes, quantizes, and compresses the Neural Network.
Automated neural net layer deployment to the optimum available compute resource.
Auto Quality Inference Engine
A-SPICE qualified inference engine
eIQ Auto AI Enablement
Start developing with eIQ Auto toolkit
eIQ Auto toolkit for S32V2 processors
Start exploring the capability of porting your deep learning algorithms based on S32V234. Bring your application to life!
Lidar assists in classifying objects within the scene, such as cars, pedestrians, and cyclists in visually tough environments such as rain, fog, and low light conditions.
Object Detection, classification, and tracking are essential for vision-based New Car Assessment Program (NCAP) automated driving functions.
Front View Camera
Front View Camera systems in advanced driver assistance systems can analyze the video content for lane departure warning (LDW), automatic lane keeping assist (LKA), high/low beam headlight
control, and traffic sign recognition (TSR). Learn More
Multicamera Surround View captures and displays onscreen the area surrounding the car from a virtual 3D view, providing a 360° view around the car.
Advanced Park Assist (APA)
Sense park assist systems provides perspective that is dynamically moves depending upon the trajectory of the car.
Driver Monitoring Systems (DMS)
Driving monitoring systems (DMS) can provide alerts to the driver and initiate an intervention to manage the control of the vehicle, helping reduce accidents. NXP offers dedicated silicon
solutions for both DMS and occupant monitoring systems in partnership with Momenta. Watch the video
Simplifying Deep Learning and Neural Networks for Embedded Processing
Learn to implement and configure the NXP eIQ™ Auto deep learning toolkit to optimize and implement DL without the need for customized hardware expertise.
eIQ™ Auto toolkit speeds the development and performance of AI automotive applications
eIQ™ Auto deep learning toolkit helps designers convert and fine tune their AI models leveraging familiar platforms and libraries such as TensorFlow, Caffe and/or PyTorch to port
their deep learning training frameworks to S32V processors.