Headline Subheadline. Imaginghub Embedded Vision Survey 2017 Results Report

Size: px
Start display at page:

Download "Headline Subheadline. Imaginghub Embedded Vision Survey 2017 Results Report"

Transcription

1 Headline Subheadline Imaginghub Embedded Vision Survey 2017 Results Report

2 Imaginghub Embedded Vision Survey 2017 Results Report The Imaginghub is an online community focusing on the cross-sectional technology approach Embedded Vision. Our mission is to help engineers and developers with managing the complex task of designing embedded vision systems and solutions for a variety of applications across different industries. In this role, the Imaginghub has carried out a survey amongst its users in order to learn more about engineers day-to-day embedded vision project challenges, product requirements and favorite Computer Vision technologies. The survey, conducted in October 2017, was supported by partners of the Imaginghub, such as Advantech, Basler Embedded Vision Alliance, National Instruments and Xilinx. This results report of the Imaginghub Embedded Vision Survey 2017 provides an overview about the answers of 165 Imaginghub community members who participated in the survey. These users, predominantly coming from the Asia and Europe region, do have a maker or professional background and design systems, amongst others, in the field of Robotics, Consumer Electronics or Internet of Things. The survey delivers excellent insights into trending technologies, most used software and hardware platforms for Computer Vision powered applications and the biggest challenges embedded vision developers have to face during their projects. For more information about the Imaginghub Embedded Vision Survey 2017 results report, please send an to info@imaginghub.com. 2

3 Imaginghub Embedded Vision Survey 2017 Results Report Content 1. Demographics User Profile Software Environment Hardware Environment Image Sensing Requirements Application Developement...21 The survey was supported by Imaginghub partners Advantech, Basler Embedded Vision Alliance, National Instruments, and Xilinx. 3

4 1. Demographics What is your age? What is your gender? 38,8% 93,3% 28,5% 19,4% 7,3% 1,2% 4,8% 0% 6,1% 0,6% 4

5 1. Demographics In which region of the world do you reside? 49,1% 30,9% 7,3% 6,7% 5,5% 0,6% 5

6 2. User Profile To which of these categories do you belong? How many years of experience do you have in the field of Computer Vision? 41,8% 40,6% 29,1% 23% 15,8% 11,5% 10,3% 12,1% 8,5% 3,6% 3,6% 6

7 2. User Profile In which of the following fields are you involved? 67,3% 38,2% 42,4% 23% 4,8% 3% 12,7% 4,2% 9,1% 5,5% 1,8% 4,2% 4,2% 5,5% 7

8 2. User Profile What markets or industries are your applications, products or services primarly aiming at? 47,9% 33,9% 27,3% 14,5% 21,2% 23,6% 17% 7,3% 24,2% 2,4% 9,7% 13,3% 9,7% 3% 4,8% 3% 20% 5,5% 11,5% 6,1% 8

9 2. User Profile Which technology areas are you currently most passionate about? 57% 48,5% 30,9% 35,2% 23% 23,6% 20% 26,1% 18,8% 13,3% 14,5% 12,7% 12,7% 5,5% 9

10 3. Software Environment Which operating systems do you typically use for your embedded projects, products or services? 31,5% 34,5% 29,1% 36,4% 29,7% 23,6% 17,6% 17,6% 16,4% 12,7% 6,7% 10

11 3. Software Environment What are your preferred programming languages for vision applications? What is your software camera interface of choice when integrating an image sensor? 59,4% 48,5% 52,7% 41,8% 34,5% 28,5% 16,4% 4,2% 1,8% 7,3% 6,1% 9,7% 7,9% 11

12 3. Software Environment Which of the following frameworks & processing libraries do you use for embedded vision development? 56,4% 29,7% 19,4% 23,6% 21,8% 20% 3,6% 6,1% 7,3% 12

13 4. Hardware Environment What is most important to you when choosing a processing platform (SBC, SoC, SoM, etc.) for imaging? 55,8% 36,4% 42,4% 44,2% 34,5% 39,4% 31,5% 28,5% 32,1% 20% 9,1% 0,6% 13

14 4. Hardware Environment What type of processing architectures do you typically use for your projects, products or services? 70,9% 53,3% 27,3% 12,7% 13,9% 1,8% 14

15 4. Hardware Environment In general, the processors of which vendor(s) are of most interest to you when designing an embedded system? 50,9% 44,8% 26,7% 23,6% 24,8% 30,9% 27,3% 15,8% 17,6% 12,7% 3,6% 3,6% 7,9% 3% 7,3% 3,6% 6,1% 3% 3,6% 15

16 4. Hardware Environment What type of processing solution concept do you primarily use for your embedded projects, products or services? What type of module standard do you prefer? 54,5% 41,8% 31,5% 36,4% 36,4% 26,7% 20,5% 0% 16

17 4. Hardware Environment Do you normally use any additional hardware component for image processing acceleration? 58,8% 26,7% 29,1% 24,8% 1,2% 17

18 5. Image Sensing Requirements What image sensor resolution do your applications, products or services typically require? How many frames per second do your applications, products or services need to acquire? 48,5% 30,3% 30,9% 19,4% 16,4% 13,3% 10,3% 10,3% 6,7% 5,5% 8,5% 18

19 5. Image Sensing Requirements What type of shutter do your applications, products or services typically require? Which type of physical interface do you prefer for connecting a camera module to your processing platform? 46,1% 53,3% 34,5% 39,4% 36,4% 19,4% 23,6% 19,4% 15,8% 4,2% 19

20 5. Image Sensing Requirements What distance does a cable connection between image sensor and processing unit normally have to bridge for your applications, products or services? What camera/ sensor modules do you use most often for your applications, products or services? 50,9% 30,3% 46,1% 26,7% 18,2% 14,5% 23,6% 20% 10,3% 14,5% 12,1% 20

21 6. Application Development What types of sensors besides image sensors do you normally incorporate into your applications, products or services? How often do you use open source hardware or software technologies in your projects, applications or services? 56,4% 43% 42,4% 42,4% 35,8% 34,5% 30,3% 40% 22,4% 10,9% 3,6% 21

22 6. Application Development What are the greatest technology challenges you are periodically facing in your embedded development projects? 46,1% 38,2% 15,2% 18,8% 30,3% 20,6% 24,8% 26,7% 24,8% 15,2% 14,5% 28,5% 23% 16,4% 1,2% 22

23 6. Application Development What sources of information do you consider as input in preparation for taking embedded design decisions? 40% 41,2% 43,6% 35,8% 15,8% 16,4% 13,9% 18,8% 14,5% 11,5% 6,7% 6,1% 1,8% 23

24 6. Application Development How long does the design phase of your projects normally take to finish, starting from research to final product? 46,7% 26,7% 15,8% 6,1% 4,8% 24

25 6. Application Development How do you primarily find and evaluate project partners to work with? 53,3% 47,9% 30,9% 25,5% 19,4% 13,9% 18,2% 19,4% 6,7% 2,4% 25