Difference between revisions of "DeepLens - deep learning enabled video camera"
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| − | + | {{#seo: | |
| + | |title=PRIMO.ai | ||
| + | |titlemode=append | ||
| + | |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS | ||
| + | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
| + | }} | ||
| + | [https://www.youtube.com/results?search_query=amazon+deeplens YouTube search...] | ||
| + | [https://www.google.com/search?q=amazon+deeplens+deep+machine+learning+ML ...Google search] | ||
| − | + | * [[Amazon | Amazon AWS]] | |
| + | * [https://aws.amazon.com/deeplens/ Product page...] | ||
| + | * [[Getting Started & Project: Object Detection]] | ||
| + | * [[More DeepLens Projects]] | ||
| + | * [[Video/Image]] | ||
| − | + | https://docs.aws.amazon.com/deeplens/latest/dg/images/deeplens-hiw-general.png | |
| − | |||
| − | |||
| − | + | <youtube>RhEVld4GwzU</youtube> | |
| + | <youtube>BqHWG2CUDg4</youtube> | ||
| + | <youtube>bTLMU9z_hes</youtube> | ||
| + | <youtube>Vw-bX1RRZGQ</youtube> | ||
| + | <youtube>qRJwvo94-Ko</youtube> | ||
| − | * [[ | + | |
| − | * [[ | + | https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2017/11/30/DeepLens-Flow-1.gif |
| − | + | ||
| − | + | == Hardware Specifications == | |
| + | |||
| + | * 4 megapixel resolution (1080p [[Video/Image|Video]]) | ||
| + | * 8GB of RAM | ||
| + | * 16GB of internal storage | ||
| + | * A 32GB SD card | ||
| + | * Wi-Fi connectivity | ||
| + | * A micro HDMI port | ||
| + | * 1/8" audio port | ||
| + | * 2 USB ports | ||
| + | * 5v power supply | ||
| + | * The CPU is a [https://ark.intel.com/products/96486/Intel-Atom-x5-E3930-Processor-2M-Cache-up-to-1_80-GHz dual-core Atom E3930]. DeepLens comes with an [https://www.notebookcheck.net/Intel-HD-Graphics-500.182723.0.html Intel HD Graphics 500 chip]; so a graphics processing unit ([https://en.wikipedia.org/wiki/Graphics_processing_unit GPU]) is included too. This chip has 12 “execution units” capable of running 7 threads each [single instruction, multiple data ([https://en.wikipedia.org/wiki/SIMD SIMD]) architecture]. 84 “cores” - over 100 GFLOPS of compute power on the device, it can process deep learning predictions on HD [[Video/Image|video]] for real time. [https://software.intel.com/sites/default/files/managed/c5/9a/The-Compute-Architecture-of-Intel-Processor-Graphics-Gen9-v1d0.pdf Processor Technical Specifications] | ||
| + | |||
| + | <youtube>suQnh1TvGHw</youtube> | ||
Latest revision as of 22:45, 30 March 2023
YouTube search... ...Google search
- Amazon AWS
- Product page...
- Getting Started & Project: Object Detection
- More DeepLens Projects
- Video/Image
Hardware Specifications
- 4 megapixel resolution (1080p Video)
- 8GB of RAM
- 16GB of internal storage
- A 32GB SD card
- Wi-Fi connectivity
- A micro HDMI port
- 1/8" audio port
- 2 USB ports
- 5v power supply
- The CPU is a dual-core Atom E3930. DeepLens comes with an Intel HD Graphics 500 chip; so a graphics processing unit (GPU) is included too. This chip has 12 “execution units” capable of running 7 threads each [single instruction, multiple data (SIMD) architecture]. 84 “cores” - over 100 GFLOPS of compute power on the device, it can process deep learning predictions on HD video for real time. Processor Technical Specifications
