A Deeper Vision

Machine Vision

Deep Learning & AI

More and more, machine vision systems are making automated decisions based on variable conditions. The amount of time and effort required to develop these systems can be daunting. Today, the advent of deep learning is changing this landscape and putting automation in reach. Resources such as open-source libraries, Nvidia hardware, and Teledyne cameras, SDKs, and AI training tools are helping to make this change happen. 

Deep Learning Made Easier

Deep learning is a powerful tool for system designers to quickly automate complex and subjective decision making and deliver higher quality products and improved productivity. Deploy your trained neural network to the Teledyne Firefly DL with Neuro technology and reduce system cost and complexity by making decisions on-camera without host PC. With its very small size, low weight and power consumption, the Firefly DL camera is ideal for embedding into mobile, desktop, and handheld systems.

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What is Deep Learning?

Deep learning is a form of machine learning that uses neural networks with many “deep” layers between the input and output nodes. By training a network on a large data set, a model is created that can be used to make accurate predictions based on input data. In neural networks used for deep learning, each layer’s output is fed forward to the input of the next layer. The model is optimized iteratively by changing the weights of the connections between layers. On each cycle, feedback on the accuracy of the model’s predictions is used to guide changes in the connection weighting.

 

Astrocyte™ AI Tool

Teledyne DALSA Astrocyte™ is a code-free AI training tool to quickly deploy AI models for machine vision solutions. Astrocyte empowers users to harness their own images of products, samples, and defects to train neural networks to perform a variety of tasks such as anomaly detection, classification, object detection and segmentation. With its highly flexible graphical user interface, Astrocyte allows visualizing and interpreting models for performance/accuracy as well as exporting these models to files that are ready for runtime in Teledyne DALSA Sapera™ Processing and Sherlock™ vision software platforms.

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Deep Learning Articles
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Whitepaper

Comparing Deep Learning Cameras with Smart Cameras

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Whitepaper

5 Steps for Building and Deploying Deep Learning Neural Networks

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Whitepaper

Best Practices: Training a Deep Learning Neural Network

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Whitepaper

Comparing VPUs, GPUs, and FPGAs for Deep Learning Inference

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