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Blog Posts

Ready for Air: Welcome to a New Dawn for Aerial Autonomy

This blog post was originally published at Opteran Technologies’ website. It is reprinted here with the permission of Opteran Technologies. Opteran enables robust, fast, GPS free, verifiable autonomy for aerial systems, at previously unimaginable size, weight (~30g), power (~3W) and hardware costs using consumer 2D cameras Today we’re happy to share a first glance at our […]

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How to Represent Information: On Bayesian Bits, Qubits, and Hintons

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Before I joined Qualcomm Technologies Netherlands, computation was always a black box for me. I’d design an algorithm, code it up in some high-level programming language, run it, and it would simply work. Since then, I have

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Liquid Lens Autofocus vs Voice Coil Motor (VCM) Autofocus

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Autofocus is one of the key features required for many embedded vision applications. An autofocus camera module is typically used when the distance to the target object keeps varying during image capture. This requires the

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Annual Computer Vision Developer Survey Now Open

Please help us gather a broad range of perspectives by participating in the Edge AI and Vision Alliance’s eighth annual Computer Vision Developer Survey.  You can take the 10-minute survey by clicking here. As thanks, you’ll receive $50 off the pass price for the Embedded Vision Summit, and you’ll be automatically entered in a drawing

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Bigger is not Always Better: Exploiting Parallelism in Neural Network Hardware

This blog post was originally published at AImotive’s website. It is reprinted here with the permission of AImotive. When considering hardware platforms for executing high performance NNs (Neural Networks), automotive system designers frequently determine the total compute power by simply adding up each NN’s requirements. However, the approach usually leads to demands for a single

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Use Case: Air Conditioner Piston Check

This blog post was originally published at PerceptiLabs’ website. It is reprinted here with the permission of PerceptiLabs. With the growing use of computer vision in Industrial IoT (IIoT) and Industry 4.0 to analyze and detect defects, we were inspired to build an image recognition model that can classify images of AC pistons. Materials used

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AIMET Model Zoo: Highly Accurate Quantized AI Models are Now Available

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. 8-bit integer models using the AI Model Efficiency Toolkit Making neural network models smaller is crucial for the widespread deployment of AI. Qualcomm AI Research has been developing state-of-the-art quantization techniques that enable power-efficient fixed-point inference while preserving

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What is High Dynamic Range (HDR)? How Do HDR Cameras Work?

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. While resolution, sensitivity, and frame rate had been the definitive benchmarks for selecting a suitable industrial camera in the past, high dynamic range has become increasingly inevitable for applications involving challenging & varying light conditions.

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