Monday, August 3, 2020

OAK-D: OpenCV AI Kit A tiny, powerful, open source Spatial AI system

https://www.kickstarter.com/projects/opencv/opencv-ai-kit#


Based on the Intel® Movidius™ Myriad™ X Vision Processing Unit (VPU)

Intel® Movidius™ Myriad™ X VPU

The Intel® Movidius™ Myriad™ X VPU is Intel's first VPU to feature the Neural Compute Engine — a dedicated hardware accelerator for deep neural network inference. The Neural Compute Engine in conjunction with the 16 powerful SHAVE cores and high throughput intelligent memory fabric makes Movidius Myriad X ideal for on-device deep neural networks and computer vision applications.
The Movidius Myriad X VPU is programmable with the Intel® Distribution of the OpenVINO™ toolkit for porting neural network to the edge, and via the Myriad Development Kit (MDK) which includes all necessary development tools, frameworks and APIs to implement custom vision, imaging and deep neural network workloads on the chip.





Open Source Spatial AI From The Biggest Name in Computer Vision.
To celebrate OpenCV’s 20th anniversary we are proud to introduce the OpenCV AI Kit (OAK), an MIT-licensed open source software and Myriad X-based hardware solution for computer vision at any scale. 




OAK consists of the OAK API software and two different types of hardware: OAK-1 and OAK-D. They are tiny artificial intelligence (AI) and computer vision (CV) powerhouses, with OAK-D providing spatial AI leveraging stereo depth in addition to the 4K/30 12MP camera that both models share.  They are also both absurdly easy to use. Up and running in under 30 seconds, OAK-1 and OAK-D allow anyone to access this power: hobbyists, researchers, and professionals alike. Once you're done tinkering, OAK's modular, FCC/CE-approved, open-source hardware ecosystem affords direct integration into your products.








 project video thumbnail









Saturday, August 1, 2020

Matrix of Useful GPU / CPU needed for VR & AI



I am trying to do some things and I keep bumping in to some steep hardware requirements as such I am now looking to assembling a list of Viable GPU's and CPU's for all the applications and finding a most compatible subset that will do what I need.



Needed for VIVE VR

Intel Core i5-4590


NVIDIA  GeForce RTX 2080 Ti | 2080 Super | 2080 |
              2070 Super | 2070 | 2060 Super | 2060
NVIDIA  GeForce GTX 1080Ti | 1080 | 
                  1070 | 1070Ti |
                   1060
NVIDIA  GeForce GTX 980Ti | 980 | 970 | 780Ti
NVIDIA  Quadro RTX 8000 | 6000 | 5000 | 4000
NVIDIA  Quadro P6000 | P5000 | P4000
NVIDIA  Quadro M6000 | M5000
NVIDIA  Quadro Mobile RTX 6000 | RTX 5000 | RTX 4000 | RTX 3000
NVIDIA  Quadro Mobile P5200 | P5000 | P4200 | P3200 | P3000
NVIDIA  Quadro M5000 | M5500 | M5000 | K6000
NVIDIA  Quadro Mobile M5500
NVIDIA  Quadro GP100 | GV100



for Rift S. 
Intel i5-4590 / AMD Ryzen 5 1500X or greater

NVIDIA GTX 1050Ti / AMD Radeon RX 470 or greater.
NVIDIA GTX 960 / AMD Radeon R9 290 or greater.

CPU. Intel i3-6100 / AMD Ryzen 3 1200, FX4350 or greater.
Memory. 8GB+ RAM.
Video Output. DisplayPortTM 1.2 / Mini DisplayPort (with adapter included in the box)




Needed for RAPIDS
Pascal or better, 



Needed for TensorFlow. 

from: 
https://tech.amikelive.com/node-685/list-of-nvidia-desktop-graphics-card-models-for-building-deep-learning-ai-system/
https://en.wikipedia.org/wiki/List_of_Nvidia_graphics_processing_units


GeForce 600SERIES MODEL NAM  ARCHITECTURE CODE NAME       BUS INTERFACE LAUNCH DATE
GeForce GT 630 Kepler GK107 PCIe 2.0 x16 April 24, 2012
Kepler GK208-301-A1 PCIe 2.0 x8 May 29, 2013
GeForce GT 635 Kepler GK208 PCIe 3.0 x8 February 19, 2013
GeForce GT 640 Kepler GK107-301-A2 PCIe 3.0 x16 April 24, 2012
Kepler GK107 PCIe 3.0 x16 June 5, 2012
Kepler GK208-400-A1 PCIe 2.0 x8 May 29, 2013
GeForce GTX 645 Kepler GK106 PCIe 3.0 x16 April 22, 2013
GeForce GTX 650 Kepler GK107-450-A2 PCIe 3.0 x16 September 13, 2012
GeForce GTX 650 Ti Kepler GK106-220-A1 PCIe 3.0 x16 October 9, 2012
GeForce GTX 650TiBoostq Kepler GK106-240-A1 PCIe 3.0 x16 March 26, 2013
GeForce GTX 660 Kepler GK106-400-A1 PCIe 3.0 x16 September 13, 2012
Kepler GK104-200-KD-A2 PCIe 3.0 x16 August 22, 2012
GeForce GTX 660 Ti Kepler GK104-300-KD-A2 PCIe 3.0 x16 August 16, 2012
GeForce GTX 670 Kepler GK104-325-A2 PCIe 3.0 x16 May 10, 2012
GeForce GTX 680 Kepler GK104-400-A2 PCIe 3.0 x16 March 22, 2013
GeForce GTX 690 Kepler GK104-355-A2 PCIe 3.0 x16 April 29, 2012

GeForce 700SERIES MODEL NAM  ARCHITECTURE CODE NAME       BUS INTERFACE LAUNCH DATEGeForce GT 705          Kepler GF119-300-A1 PCIe 2.0 x16 March 27, 2014
GeForce GT 710 Kepler GK208-301-A1 PCIe 2.0 x8 March 27, 2014
Kepler GK208-203-B1 PCIe 2.0 x8 January 26, 2016
GeForce GT 720 Kepler GK208-201-B1 PCIe 2.0 x8 March 27, 2014
GeForce GT 730 Kepler GK208-301-A1 PCIe 2.0 x8 June 18, 2014
Kepler GK208-400-A1 PCIe 2.0 x8 June 18, 2014
Kepler GF108         PCIe 2.0 x16 June 18, 2014
GeForce GT 740 Kepler GK107-425-A2 PCIe 3.0 x16 May 29, 2014
GeForce GTX 745 Maxwell GM107-300-A2 PCIe 3.0 x16 February 18, 2014
GeForce GTX 750 Maxwell GM107-300-A2 PCIe 3.0 x16 February 18, 2014
GeForce GTX 750 Ti Maxwell GM107-400-A2 PCIe 3.0 x16 February 18, 2014
GeForce GTX 760 192-bit Kepler GK104-200-KD-A2 PCIe 3.0 x16 October 17, 2013
GeForce GTX 760 Kepler GK104-225-A2 PCIe 3.0 x16 June 25, 2013
GeForce GTX 760 Ti Kepler GK104 PCIe 3.0 x16 September 27, 2013
GeForce GTX 770 Kepler GK104-425-A2 PCIe 3.0 x16 May 30, 2013
GeForce GTX 780 Kepler GK110-300-A1 PCIe 3.0 x16 May 23, 2013
GeForce GTX 780 Ti Kepler GK110-425-B1 PCIe 3.0 x16 November 7, 2013
GeForce GTX TITAN Kepler GK110-400-A1 PCIe 3.0 x16 February 21, 2013
GeForce GTX TITAN Black Kepler GK110-430-B1 PCIe 3.0 x16 February 18, 2014
GeForce GTX TITAN Z Kepler GK110 PCIe 3.0 x16 March 25, 2014

GeForce 900SERIES MODEL NAM  ARCHITECTURE CODE NAME       BUS INTERFACE LAUNCH DATE
GeForce GT 945A Maxwell GM108-? PCIe 3.0 x8 February, 2016
GeForce GTX 950 Maxwell GM206-250 PCIe 3.0 x16 August 20, 2015
GeForce GTX 960 Maxwell GM206-300 PCIe 3.0 x16 January 22, 2015
GeForce GTX 970 Maxwell GM204-200 PCIe 3.0 x16 September 18, 2014
GeForce GTX 980 Maxwell GM204-400 PCIe 3.0 x16 September 18, 2014
GeForce GTX 980 Ti Maxwell GM200-310 PCIe 3.0 x16 June 1, 2015     *** have 2 here
GeForce GTX TITAN X Maxwell GM200-400 PCIe 3.0 x16 March 17, 2015

RAPIDS ONLY BELOW

GeForce 10SERIES MODEL NAM  ARCHITECTURE CODE NAME       BUS INTERFACE LAUNCH DATE
GeForce GT  1030 Pascal GP108-300 PCIe 3.0 x4 May 17, 2017
GeForce GTX 1050 Pascal GP107-300 PCIe 3.0 x16 October 25, 2016
GeForce GTX 1050 Ti Pascal GP107-400 PCIe 3.0 x16 October 25, 2016
GeForce GTX 1060 Pascal GP106-300 PCIe 3.0 x16 August 18, 2016
GeForce GTX 1070 Pascal GP104-200 PCIe 3.0 x16 June 10, 2016
GeForce GTX 1070 Ti Pascal GP104-300 PCIe 3.0 x16 November 2, 2017
GeForce GTX 1080 Pascal GP104-400 PCIe 3.0 x16 May 27, 2016
GeForce GTX 1080 Ti Pascal GP102-350 PCIe 3.0 x16 March 5, 2017
Nvidia TITAN X Pascal GP102-400 PCIe 3.0 x16 August 2, 2016
Nvidia TITAN Xp Pascal GP102-450 PCIe 3.0 x16 April 6, 2017



Volta 

SERIES MODEL NAM  ARCHITECTURE CODE NAME       BUS INTERFACE LAUNCH DATE
Nvidia TITAN V Volta GV100-400-A1 PCIe 3.0 x16 December 7, 2017
Nvidia Quadro GV100     Volta   GV100         PCIe 3.0 x16 March 27, 2018
Nvidia Titan V CEO      Volta   GV100         PCIe 3.0 x16 June 21, 2018
GeForce GTX 1660        Volta   TU116-300-A1 PCIe 3.0 x16 March 14, 2019



Turing


Series 16SERIES MODEL NAM  ARCHITECTURE CODE NAME       BUS INTERFACE LAUNCH DATE
GeForce GTX 1650     Turning TU117         PCIe 3.0 x16    April 3, 2019
GeForce GTX 1650 Super  Turning TU116-250-KA-A1 PCIe 3.0 x16 November 22, 2019
GeForce GTX 1660        Turning TU116-300-A1    PCIe 3.0 x16 March 14, 2019
GeForce GTX 1660 Super  Turning TU116-300-A1    PCIe 3.0 x16 October 29, 2019
GeForce GTX 1660 Ti     Turning TU116-400-A1    PCIe 3.0 x16 February 21, 2019

Series 20SERIES MODEL NAM  ARCHITECTURE CODE NAME       BUS INTERFACE LAUNCH DATE
GeForce RTX 2060 Super  Turning TU106-410-A PCIe 3.0 x16    July 9, 2019
GeForce RTX 2070        Turning TU106-400-A1 PCIe 3.0 x16    October 17, 2018
GeForce RTX 2070 Super  Turning TU104-410-A1 PCIe 3.0 x16    July 9, 2019
GeForce RTX 2080        Turning TU104-400-A1 PCIe 3.0 x16    September 20, 2018
GeForce RTX 2080 Super  Turning TU104-450-A1 PCIe 3.0 x16    July 23, 2019
RTX 2080 Ti             Turning TU102-300-K1-A1 PCIe 3.0 x16    September 27, 2018
Nvidia TITAN RTX        Turning TU102-400-A1 PCIe 3.0 x16    December 18, 2018




Wednesday, July 29, 2020

Fwd: LS--C32 --4200USD



---------- Forwarded message ---------
From: Emma Lin <shixialin@lslidar.com>

LS-- News Express

Leishen Intelligent System Co,Ltd would like to announce the Mechanical C32 Lidar is updated into 3.0 version,
not only by enhencing significantly the minimum vertical resolution of 0.33°, 
but also keeping the reliable and inherent performance.

In order to be largely deployed in the cutting edge fields such as robotics, robotaxi, smart city 
as well as security industry,Leishen will offer the most affordable price for customer benifits.
Lots to deploy, Less to pay.

Starting at USD $4200

Please check more details with us, to get more suprises.  
 
Leishen Team


Best regards

Emma Lin

Oversea Sales Manager
  
LeiShen Intelligent System Co.,Ltd 
E: shixialin@lslidar.com | T: +86-13580349501
A: Headquarter 4thFloor,Yunhua Building,Shajing,Bao'an district,Shenzhen,China
      France Office 60 Rue Saint Antoine, 75004, Paris, France


Monday, July 27, 2020

MOV.AI Operating System For Collaborative Industrial Robots

https://mov.ai/


MOV.AI is a startup that provides an operating system for autonomous intelligent collaborative robots for universal commercial use. Their solution provides an industry-grade, ROS compatible O/S that enables easy mapping, robust, affordable and autonomous navigation and obstacle avoidance as well as a modern end-user interface which facilitates...






TUGBOT from RoboSavvy

Tuesday, July 14, 2020

Stretch RE1 Launch







Meet Stretch, a simply useful robot by Hello Robot.

Hello Robot is committed to a future in which robots like Stretch enhance life for everyone. The Stretch RE1 is an invitation for researchers to make robots fun, useful, and inclusive.

Available now at hello-robot.com









Cliff detection with ESPRO TOF 8x8 Lidar


https://www.espros.com/wp-content/uploads/2020/07/ESPROS_TOFframe611ForCliffdetection.pdf

Looks like an 8x8 array good for about 2 meters for just under $100 

I am working on get some image of the sensors output in action.


Mobile robots such as vacuum cleaners are safe from falling down stairs - with ESPROS' TOF sensors for cliff detection...

Get in touch with us or order here on Digi-Key.

Also get in contact with our sales partners around the world!

Kind regards,
Your ESPROS Photonics Team