Search Results for "vision"
Sort By:
Showing 3 open source projects for "vision"
View related business solutions-
Intelligent Retail ManagementQuant offers a wide range of solutions for retail. Within one integrated software system, it allows you to efficiently combine the management of retail space, shelf labels and marketing materials with task management, reporting and automatic replenishment.
-
The top-rated AI recruiting platform for faster, smarter hiring.Humanly is an AI-first recruiting platform that helps talent teams hire in days, not months—without adding headcount. Our intuitive CRM pairs with powerful agentic AI to engage and screen every candidate instantly, surfacing top talent fast. Built on insights from over 4 million candidate interactions, Humanly delivers speed, structure, and consistency at scale—engaging 100% of interested candidates and driving pipeline growth through targeted outreach and smart re-engagement. We integrate seamlessly with all major ATSs to reduce manual work, improve data flow, and enhance recruiter efficiency and candidate experience. Independent audits ensure our AI remains fair and bias-free, so you can hire confidently.
-
1
Vision Camera
The Camera library that sees the vision
VisionCamera was designed from the ground up to provide all features a camera app should have. You have full control over what device is used, and can even configure options such as frame rate, colorspace, and more. While having a lot of features, VisionCamera makes sure you don't get overwhelmed from the beginning. It provides hooks and functions to help you get started faster, and if you need full control, you can easily do that. Every functionality has been thoroughly documented and even... -
2
Posturr
A macOS app that blurs your screen when you slouch
Posturr is a macOS application that uses computer vision and machine learning — specifically Apple’s Vision framework — to monitor a user’s posture in real time and encourage healthier habits by visually responding when poor posture is detected. Running locally on the Mac, the app accesses the built-in camera to detect when you slouch or sit incorrectly, and when it recognizes sustained slouching, it applies a progressive visual blur to the screen as a subtle but effective cue to straighten up. ... -
3
GPUImage 2
Framework for GPU-accelerated video and image processing
...The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.
- Previous
- You're on page 1
- Next
