Deep Vision Consulting is proud of being at the heart of the AI and Computer Vision under the hood of Ledworks, which just received the CES 2020 Innovation Award. The CES Innovation Awards is an annual competition honoring outstanding design and engineering in consumer technology products.
We are happy to share that Deep Vision Consulting recently got awarded for the best pitch at the first Italian NVIDIA Inception Meetup (Twitter and Facebook)! The event was organized by NVIDIA Inception Program an hosted at AImageLab (University of Modena and Reggio Emilia, Italy) on July 8th. Our pitch focused on No-Data Deep Learning, a proprietary technology […]
This year Deep Vision Consulting was among the lucky ones that made it to the European Conference on Computer Vision (ECCV) in Munich, see https://eccv2018.org. The conference sold out quickly and unfortunately many people couldn’t attend. Our field is witnessing an unprecedent and unpredictable growth and it’s exiting as a company to be on the […]
Proud of having eventually launched the Tagily system: a cloud-based system for automatic annotation of sport bibs in pictures. No use of any kind of codes (QR or Aruco or whatever), just use your picture. What we did with Marcialonga 2018 automatic bib annotation was the starting spark of this system and we believe that […]
In the past few weeks we had the opportunity to test the Neural Compute Stick by Intel Movidius, a very compact inference device, particularly attracting for inference of DNNs (Deep Neural Network) in the embedded world. The device looks like a USB 3.0 dongle and integrates a Movidius Myriad 2 VPU (Visual Processing Unit) processor. […]
After 18-months strenuous work of research and development, Deep Vision Consulting is extremely proud to announce the release of the automatic bib recognition system for sport events that just run over all official pictures of Marcialonga 2018, the great cross country skiing event on Italian Dolomites which took place on January 28th. But let’s put things […]
Keras is a great tool to train deep learning models, but when it comes to deploy a trained model on FPGA, Caffe models are still the de-facto standard. Unfortunately, one cannot simply take a model trained with keras and import it into Caffe. The reason is twofold: first, Caffe doesn’t offer any import functions from […]