Google Forms Reviews

1. ✓ Adrian | Mobile Forms - Digital Inspections - Enterprise Checklists - Data collection

   | Marketing at Mobile Forms | about 4 years ago
   A good beginners tool to start your digital transformation.

   One of our customers said: Our small mining operation needed to go from paper based process to digital forms. At first, Google forms allowed us to use this Web-based platform that lets individuals and businesses of all sizes build customizable forms to conduct surveys and generate real-time response charts.

   We saw that a small sample of our field workers quickly adopted the new way of working.

   Step 1: accomplished.

   Now unto step 2.

   How do we deploy this unto our whole team? We needed email notifications, offline response collection when without wifi on the field. Our CIO and his director of operations needed deep data and trends analysis as well. Our inspectors, when doing their audits, needed to capture approx. 25 high definition pictures, some audio notes and a video which wasn't really possible with google forms.

   So, we can 100% credit the use of google forms to our transition towards a paperless process, but as we navigated saashub.com a little more, we were able to discover a world of alternatives. We strongly suggest to start using google forms before undergoing a big implementation plan towards such enterprise level inspection tools like nspek or even cheaper solutions like prontoforms.

   I am not sure if we would start with google's solution first if we would to do this digital transformation all over, but it did allow us to discover it's limits pretty quickly.

   At some point, we needed custom fields and functions, and none of us was able to code, so the nSpek training that comes with the application definitely sets it's self apart, giving us full autonomy.

   🏁 Competitors: nSpek, ProntoForms

   👍 Pros:    No sign up cost

   👎 Cons:    Customization|Customer support|Data protection and security|No video|No pictures

OpenCV Reviews

Google Forms mentions (0)

OpenCV mentions (52)

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 18 days ago

• FridgeBot — GPT-4o shopping list automation

  Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / about 1 month ago

• Exploring Open-Source Alternatives to Landing AI for Robust MLOps

  Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 7 months ago

• Looking for a Windows auto-clicker with conditions

  You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 7 months ago

• Looking to recreate a cool AI assistant project with free tools

  - [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 11 months ago