Building Block Solution for NPU, GPU, CPU, MCU
Combine the key benefits of our DeepVIew AI Middleware to enable you with target-optimized end-to-end AI Vision solutions.
Highly-optimized applications integrated end-to-end solution, complete with target-specific vision pipeline, fully-optimized neural network models, and DeepViewRT inference engine.
Ready for deployment on the our DeepView Vision Starter Kits or any NXP i.MX Application Processors and i.MX RT Crossover MCUs.
Instantly deploy standard or custom AI models on EVK, Maivin or your own hardware.
Fully compatible with eIQ® Toolkit graphical development environment for no-code model training and deployment.
Integration with multiple frameworks to deploy your AI application the way you want.
Best in class
Achieve industry leading performance with DeepViewRT™ Inference Engine and DeepView™ VisionPack.
Ship your product with confidence knowing your vision pipeline is fully optimized for AI compute at the edge.
Build your EdgeFirst AI solution with confidence.
Long Term Support and stability.
Documented code provenance.
Field proven reliability.
DeepView Middleware Evaluation Trials
Go from idea to concept to production faster and with more confidence using our DeepView AI Middleware. We’ve optimized runtime and model performance so you can focus on your vision application.
Click the link below for signup for an evaluation trial of our DeepView VisionPack and DeepView ModelPack.
DeepView VisionPack - Product Brief
Accelerated vision pipeline for NPU,CPU, GPU
DeepView ModelPack - Product Brief
State of the art detection models
Object Tracking | NPU, GPU, CPU, MCU
Combining detection, classification, and motion tracking, this application is used to identify and monitor objects belonging to one or more classes, such as people, animals, vehicles, or inanimate objects. Depending on the scene complexity, desired frame rate and available compute, tracking is available on both MCU and high-performance applications processor.
Face & Body Pose | NPU, GPU, CPU, MCU
Detection and classification models allows this application to identify and monitor objects belonging to multiple classes. Depending on the scene complexity, desired frame rate and available compute, face recognition is available on both MCU and high-performance applications processor.
Anomaly Detection | NPU, GPU, CPU,MCU
This application uses flexible combinations of detection and segmentation to find and identify visual anomalies. Includes support for adjustment over time to accommodate anomaly acceptance criteria. By retraining the DeepView model with your dataset the application can be quickly adapted for your specific needs. Depending on complexity and desired frame rate, this application can be deployed to MCU's or applications processor.
Occupancy Tracking | NPU, GPU, CPU, MCU
Enhanced detection algorithms verify the number of people, animals or objects in the region of interest. This application can be combined with face recognition to authenticate users and quantify key metrics. Depending on the room size, number of people, and video frame rate, this application can be built on an MCU or applications processor.
Inventory Management | NPU, GPU, CPU, MCU
Applies tracking algorithms for retail and other consumer packaged goods applications. Bring in your dataset and let's get started!
Behavior Analysis | NPU, GPU, CPU,MCU
This visual intelligence application is available for several domains, including safety, security, surveillance, and efficiency. It can be applied to the workplace or public areas. Due to real-time performance constraints, this application is built on an applications processor.