Place and take calls anywhere, instantly obtain phone numbers in over 100+ countries, and handle calls on the go with Aircall's desktop and mobile apps. Automatically and efficiently route calls according to IVR selection, agent skills, time zone, and more, including an intuitive dashboard. Track performance and receive advanced analytics on agent and team productivity. Monitor the team’s activity in real-time on the live feed and cross-reference data with an existing CRM and Helpdesk for a richer understanding of processes.
Based on our record, OpenCV seems to be a lot more popular than Aircall. While we know about 52 links to OpenCV, we've tracked only 3 mentions of Aircall. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hey! Here are a few Dialers off the top of my head: Toky Aircall CloudTalk Convolo I'll be adding more dialers on SalePier (click "Outbound Prospecting", and then "Dialers/SMS"), so come and check back on a regular basis. I'll shoot you a message if I find what you're looking for 😊. Source: about 1 year ago
We use Aircall (https://aircall.io) and have it integrated to our shared/collaboration inbox service (https://front.com). The set-up has been solid for us. Source: almost 2 years ago
Aircall, that you can use to automate your phone calls process. Source: almost 3 years ago
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 / 20 days ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / about 1 month ago
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
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
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 11 months ago
Dialpad - Switch is a cloud-based phone system built for Google Apps users.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
RingCentral - RingCentral is the leading provider of cloud-based communications and collaboration solutions for small business and enterprise companies
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
CloudTalk - Work locally, grow globally
NumPy - NumPy is the fundamental package for scientific computing with Python