RELEVANCE
RELATIONSHIPS
RECOGNITION
REWARDS

PANEL

The Shift Toward Machine Vision and Learning Digital Technologies in Manufacturing and Industrial Sectors

As machine vision and learning have matured over the recent years, we want to explore new applications and opportunities for such technologies from industrial inspection to traffic monitoring. We want to discuss the opportunities and challenges that would be faced as various companies and sectors look to digitally enhance their operations to make them more efficient and cost-effective.

This is a unique opportunity for passionate, expert professionals to join 20+ panelists to advance the thinking in this field. This engagement is moderated by an expert facilitator and is open asynchronously, around-the-clock for your convenience.

Every two weeks, the facilitator will introduce a new subtopic – each theme exploring a new facet related to how machine vision and machine learning working with sensor data can address specific strategic needs in the manufacturing and industrial sectors.

Participation is exclusive, 100% online, and at your own convenience:
- One month participation (option to continue)
- Contribute once or twice per week

Activities include:
1. Discuss trends and innovations
2. Share perspective of future scenarios
3. React to each other's ideas
4. Make new professional relationships

Value to you:
- Engage with equal-caliber peers
- Enhance your knowledge on this subject
- Gain recognition as a thought-leader
- Active panelists are guaranteed to earn a minimum of $50 per 2-week theme (with the opportunity to earn more)

peopleExpert participation

- C-Suite Executives
- Heads of Strategy and Planning
- VPs of Digital Transformation
- Business Unit Directors
- Machine Vision Researchers

Applicants
Vipin Sharma
I've worked intensively for 2 years with the perception algorithms of ADAS (Advanced Driver Assistance Systems) using Machine Learning/Deep Learning on multiple sensors (Camera and LiDARs), adding to the perception stack of fully autonomous/self-driving vehicles. These algorithms require both accuracy and speed as they are life-critical systems deployed on edge devices. Working on such algorithms have made me gain expertise in such real-time system which I'd like to share with the community as well as learn about the opinions of other experts on such topics. I've recently switched tracks and started working with traffic surveillance, monitoring, and enforcement systems using a tech stack combining deep learning and classical computer vision deployed on compute-limited devices. These systems strive to make day-to-day traffic safer by enforcing commonly ignored but critical situations like carelessly merging into traffic (Exit Lane violations), seat-belt and mobile phones enforcements, etc.
Michael Griffi
Lead Data Scientist
I have personally developed and overseen the development of a number of novel computer vision applications for the manufacturing, retail and healthcare sectors. The application areas include automated inventorying for retail, defect detection in manufacturing, and video analytics for patient monitoring.
Robert Coutur
CTO - Machine Vision Integrator & Deep Learning Integrator
I have been designing, developing, and integrating machine vision systems since 1999.
Kyle Clubb
Chief Value Engineer - Director of Advanced Analytics
Leads service data science group that has helped Coca Cola, Nike, FBI and many more with many vision ML projects
Robin Goetts
Applications Engineer
Application Engineer for an Automation Equipment distributor with many years of experience in proof of concept studies and deploying machine vision.
+70

lockThis panel is now closed to new applicants.

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Engage with equal-caliber peers any time you want.

star

Enhance your knowledge on this subject.

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Gain recognition as a thought-leader in your industry.

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Earn cashable rewards through points.

“I like that I can do this when I have time,
and there is no set schedule.”


Eric Allen, Senior Manager, Supply Chain at EY

“I find the topics engaging and I love the
flexibility of checking in and providing insights
at my convenience.”

Kimberly Underwood, Consultant at Underwood Consulting

“Great platform, great questions and topics.
The potential to earn a little more money for
participating is nice as well.”

Oren Birks, Sr. Director of IT at PBI-Gordon

“I really enjoy being on the panels, sharing
information and reading the perspective of the
other panelists. It is quite intriguing and most
all of the panelists are quite bright.”

Patty Soltis, CX Strategist at Kinetic Edge Consultants

“Very interactive, informative and without
any inherent bias. This is as good a collaborative
platform as you can get.”

Pinaki Banerjee, Program Director at ITC InfoTech

“It is a perfect platform not just to share
but to learn and stay updated.”


Armando Leyva, HR Director at 360º HC

FAQ
  • add remove What is Currnt?
    Currnt is a “Knowledge Networking” platform where companies and professionals come to stay relevant on the latest advances in their industries in the face of the increasing pace of change. Companies sponsor panels to learn about where markets are headed or how to leverage new capabilities. Professionals join to demonstrate and develop their passions with equal caliber peers in expert-only facilitated online engagements. On Currnt, we take our passions seriously and ourselves lightly. See our Community Guidelines, to learn more of the rules of the road, here are some highlights

    • Be yourself. The authenticity of Currnt begins with the passion of people.
    • Be respectful. This applies to every person, at all times.
    • Be inclusive. Tolerate, welcome, and consider diverse people and perspectives.
    • Build empathy and understanding. Engage in debates that are in good faith.
    • Foster meaningful and genuine connections. This is what Currnt is all about.
    • Do not plagiarize or fail to cite other’s ideas.
    • Don’t game the points by trying to coordinate intentional recognition.
  • add remove How do Panels work?
    The panel is like a facilitated forum of hand selected experts on a topic sponsored by a company that wants to learn fast. Panels are organized in chapters called Themes that focus on one subtopic at a time. In some panels Themes are only 24 hours in duration, in others they are a week long, and in some they are two weeks long. When one Theme closes, a new one begins. You come in when you feel like it, but try to come in twice per Theme. You earn points from your peers and the facilitator when they react to your ideas. Likewise, others earn points when you interact on their posts. The more we discuss and debate, the better the insights, the more points earned by all.

  • add remove Why should I apply? Do I get paid?
    Professionals join Currnt because they want to remain relevant on subjects they’re passionate about and subjects that are shaping the future of their industry. They also:

    • Engage and connect with equal caliber peers in their industry
    • Learn and enhance their knowledge
    • Get recognized and rewarded for providing their inputs and thought-leadership
    • Earn honorarium payments and/or recognition points that are redeemable for cash. Learn more here.
  • add remove Are there specific times I need to participate?
    There are no set times for calls or meetings. Participation is 100% online on the Currnt platform and engagement between the all expert panelists is asynchronous in written form. Just come in twice per Theme, at your convenience.

  • add remove How do KnowledgeStreams and DesignSprints work?
    Streams are ongoing online engagements for exploration or working iteratively with a panel, and Sprints are on-demand engagement to get to actionable insights quickly. Both are facilitated and are always-on for participants to engage at-convenience. The conversations are segmented into Themes which are subtopics which are like chapters in a book. In a 4 Day Sprint, Themes are 24 hours, whereas a Theme in a Stream is every two week. Throughout the discussion, the facilitator highlights and categorizes the “key takeaways” to be voted and distilled into a summary report. It’s also common that other pieces of content (whitepapers, blogs, podcasts) are also prepared from the distilled insights.

  • add remove I’ve applied. Now what?
    Your application will be internally reviewed in the following 24-48hrs and screened for any conflict of interest, and general fit. Next your application will be shortlisted for the sponsor to accept, bookmark or reject. You will receive a notification each step of the way, but expect this may take a couple of days, or even weeks if the panel is new. Nevertheless, in addition to the notifications, you can always go back to the Apply page to view the status of your application.

  • add remove I’ve been selected. What am I expected to do when selected?
    Once you receive your Welcome Email, please RSVP by clicking the link in the notification. You can also gain access to the panel through your ‘My Currnt’ at the top of the page. Finally, once you have RSVP’d by logging into the panel, there is often a Welcome Tab where you can introduce yourself to the other panelists. If it’s a new panel, the first Theme will launch in a few days, if it’s an ongoing panel just jump right in by reacting to the question or to what the other panelists had to say.

  • add remove If I have other questions or issues, what should I do?
    Please contact support to answer any other questions or troubleshoot any issues via email or chat.

The Shift Toward Machine Vision and Learning Digital Technologies in Manufacturing and Industrial Sectors