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Anindya Roy
Strategy & Sales at OpenCV.ai
OpenCV.ai at ICCV2023: Computer Vision Conference
The International Conference on Computer Vision
In this special blog article, we will document our visit to the ICCV convention.
September 29, 2023
A bientôt à Paris!
The International Conference on Computer Vision (ICCV) is a research conference sponsored by the Institute of Electrical and Electronics Engineers (IEEE). The OpenCV.ai team is excited to exhibit at the ICCV Expo this year. The conference expects 7500+ visitors from industry, academia, and government to gather and discuss advances in image understanding and machine vision applications.
While we are excited to speak about any computer vision topic, our focus this year has been on
Privacy Preserving AI
With increasing emphasis on privacy and stringent guards on data, OpenCV surveillance software detect robustly but anonymize securely, revealing only the data needed to impact business operations.
Utilities & Smart Cities
We work with power stations on safety compliance, low power remote monitoring and using drone and satellite data to report faults. We are a trusted automation partner for civic agencies for realtime-traffic surveillance to waste recycling solutions.
Fitness and Sports
With advanced AI, we bring a new level of precision and personalization to fitness workouts. We can detect full-body SMPL model and 3D keypoints on human body. Additionally ask us about our ball tracking, video coaching and automatic broadcasting solutions.
Announcing Kopikat
This year we are introducing Kopikat, a GenAI aided tool to quickly increase the quality of your AI solution with zero code added.
We understand that the foundation of any successful deep learning project is a valid and accurate dataset. Without it, solving complex problems becomes nearly impossible. Kopikat is here to change the game by eliminating the need for customers to invest time and financial resources in collecting and annotating datasets. With Kopikat, you can achieve robust and stable neural networks that are adaptable to various inputs.
So how does Kopikat work?
In the domain of deep learning, we recognize that a high-quality dataset serves as the cornerstone, forming the basis upon which successful model training relies. The absence of a dependable dataset is akin to trying to solve complex problems without the essential prerequisites. Kopikat eases the complexities surrounding dataset acquisition and preparation while concurrently enhancing the performance and adaptability of neural networks. By leveraging Kopikat, you are assured of enhanced efficiency without compromising the quality of your dataset.
Stop by Expo Hall Booth #29 to meet the founding team, check out demos, or tell us about your favourite boulangerie 🥐🇫🇷🥖
About OpenCV
At OpenCV.ai, we believe that computer vision (CV) has the potential to revolutionize businesses of all sizes. Our team created OpenCV, which has been the most popular open source computer vision library in the past two decades. Today the library has 2500+ routines and 19 million downloads and counting.
Our consulting team was created with the objective of building production-grade long-term support business applications. While we take great pride in continuing to support OpenCV, we are technology agnostic and develop with tools and tech stacks that best suits our clients’ business. In less than 5 years, we’ve completed over 50 projects for well funded startups to 6 Fortune 100 customers.
Dive into the latest OpenCV AI Weekly Insights Digest for concise updates on computer vision and AI. Explore OpenCV's distribution for Android, iPhone LiDAR depth estimation, simplified GPT-2 model training by Andrej Karpathy, and Apple's ReALM system, promising enhanced AI interactions.
April 11, 2024
OpenCV For Android Distribution
The OpenCV.ai team, creators of the essential OpenCV library for computer vision, has launched version 4.9.0 in partnership with ARM Holdings. This update is a big step for Android developers, simplifying how OpenCV is used in Android apps and boosting performance on ARM devices.
April 4, 2024
Depth estimation Technology in Iphones
The article examines the iPhone's LiDAR technology, detailing its use in depth measurement for improved photography, augmented reality, and navigation. Through experiments, it highlights how LiDAR contributes to more engaging digital experiences by accurately mapping environments.
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