Best Computer Vision Software for Amazon Web Services (AWS)

Compare the Top Computer Vision Software that integrates with Amazon Web Services (AWS) as of July 2025

This a list of Computer Vision software that integrates with Amazon Web Services (AWS). Use the filters on the left to add additional filters for products that have integrations with Amazon Web Services (AWS). View the products that work with Amazon Web Services (AWS) in the table below.

What is Computer Vision Software for Amazon Web Services (AWS)?

Computer vision software allows machines to interpret and analyze visual data from images or videos, enabling applications like object detection, image recognition, and video analysis. It utilizes advanced algorithms and deep learning techniques to understand and classify visual information, often mimicking human vision processes. These tools are essential in fields like autonomous vehicles, facial recognition, medical imaging, and augmented reality, where accurate interpretation of visual input is crucial. Computer vision software often includes features for image preprocessing, feature extraction, and model training to improve the accuracy of visual analysis. Overall, it enables machines to "see" and make informed decisions based on visual data, revolutionizing industries with automation and intelligence. Compare and read user reviews of the best Computer Vision software for Amazon Web Services (AWS) currently available using the table below. This list is updated regularly.

  • 1
    Eden AI

    Eden AI

    Eden AI

    Eden AI simplifies the use and deployment of AI technologies by providing a unique API connected to the best AI engines. Your time is precious: we take care of providing you with the AI engine best suited to your project and your data. No need to wait for weeks to change your AI engine. You can do it for free in a few seconds. We make sure to get you the cheapest provider while ensuring equal performance.
    Starting Price: $29/month/user
  • 2
    Visual Layer

    Visual Layer

    Visual Layer

    Visual Layer is a platform for working with large volumes of image and video data. It supports visual search, filtering, tagging, and dataset structuring across raw files, metadata, and labels. No code is required, and both technical and non-technical teams use it in production. Common applications include curating datasets for machine learning, auditing visual content for compliance, reviewing surveillance material, and preparing media for downstream platforms. The platform detects duplicates, mislabeled items, outliers, and low-quality files to improve data quality before model training or operational decision-making. It is model-agnostic, supports both cloud and on-premise deployment, and is built by the creators of Fastdup, the widely used open-source tool for visual deduplication.
    Starting Price: $200/month
  • 3
    Interplay

    Interplay

    Iterate.ai

    Interplay Platform is a patented low-code platform with 475 pre-built connectors (enterprise, AI, IoT, Startup Technologies). It's used as middleware and as a rapid app building platform by big companies like Circle K, Ulta Beauty, and many others. As middleware, it operates Pay-by-Plate (frictionless payments at the gas pump) in Europe, Weapons Detection (to predict robberies), AI-based Chat, online personalization tools, low price guarantee tools, computer vision applications such as damage estimation, and much more. It also helps companies to go to market with their digital solutions 10X to 17X faster than in old ways.
  • 4
    Amazon Rekognition
    Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases. With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
  • 5
    Unleash live
    Unleash live is an A.I. video analytics enterprise solution provider. We take a vision from any camera and combine it with computer vision to deliver actionable data in real-time so that your organization has immediate insights to drive down costs, improve productivity, increase accuracy, and improve safety. Support for a wide range of cameras. Connect any combination of IP/CCTV, drone, body cam, mobile or robotic cameras. Live stream in the field and share it with your team while operations are in progress, or upload footage into your account. Apply A. I Apps from our app store to detect, inspect and monitor objects and items of interest or create 2D orthomaps and 3D models. Integrate results into your operational workflow, from live dashboards, to notifications and API integrations. Take the complexity and time out of collaboration. Instantly connect any mix of cameras to share over a live stream with stakeholders and 3rd parties. No plugs-in, no downloads, all in the browser.
    Starting Price: $99 per month
  • 6
    SiaSearch

    SiaSearch

    SiaSearch

    We want ML engineers to worry less about data engineering and focus on what they love, building better models in less time. Our product is a powerful framework that makes it 10x easier and faster for developers to explore, understand and share visual data at scale. Automatically create custom interval attributes using pre-trained extractors or any other model. Visualize data and analyze model performance using custom attributes combined with all common KPIs. Use custom attributes to query, find rare edge cases and curate new training data across your whole data lake. Easily save, edit, version, comment and share frames, sequences or objects with colleagues or 3rd parties. SiaSearch, a data management platform that automatically extracts frame-level, contextual metadata and utilizes it for fast data exploration, selection and evaluation. Automating these tasks with metadata can more than double engineering productivity and remove the bottleneck to building industrial AI.
  • 7
    Voxel51

    Voxel51

    Voxel51

    Voxel51 is the company behind FiftyOne, the open-source toolkit that enables you to build better computer vision workflows by improving the quality of your datasets and delivering insights about your models. Explore, search, and slice your datasets. Quickly find the samples and labels that match your criteria. Use FiftyOne’s tight integrations with public datasets like COCO, Open Images, and ActivityNet, or create your own datasets from scratch. Data quality is a key limiting factor in model performance. Use FiftyOne to identify, visualize, and correct your model’s failure modes. Annotation mistakes lead to bad models, but finding mistakes by hand isn’t scalable. FiftyOne helps automatically find and correct label mistakes so you can curate higher-quality datasets. Aggregate performance metrics and manual debugging don’t scale. Use the FiftyOne Brain to identify edge cases, mine new samples for training, and much more.
  • 8
    Segments.ai

    Segments.ai

    Segments.ai

    Segments.ai is an advanced data labeling platform that allows users to label data from multiple sensors simultaneously, improving the speed and accuracy of labeling for robotics and autonomous vehicle (AV) applications. It supports 2D and 3D labeling, including point cloud annotation, and enables users to label moving and stationary objects with ease. The platform leverages smart automation tools like batch mode and ML-powered object tracking, streamlining workflows and reducing manual labor. By fusing 2D image data with 3D point cloud data, Segments.ai offers a more efficient and consistent labeling process, ideal for high-volume, multi-sensor projects.
  • 9
    Graymatics

    Graymatics

    Graymatics

    Graymatics provides a cognitive multimedia analytics platform capable of transforming images and videos into meaningful granular data. We primarily offer CCTV based video analytics solutions to enable our clients draw critical insights from existing infrastructure all in detailed dashboards. Graymatics is a leading cognitive media processing company founded in Silicon Valley in 2011. Currently headquartered in Singapore, we are a revolutionary cloud platform that enables automatic analysis and recognition of products within surveillance, telecom, media, advertising, retail and eCommerce. Being one of the few companies in its’ field to offer such in-depth analysis, we offer a unique set of products to clients who might have been used to more traditional technology. Industry expert in video analytics across industries i.e. schools, workplaces and law enforcement. Highly optimized models with minimal hardware requirements in terms of RAM & GPU.
  • 10
    Invisible AI

    Invisible AI

    Invisible AI

    Large storage to store video locally for 30+ days, ensuring data and security. Only a few examples are needed to train AI and deployable within minutes. Real-time reports to provide necessary metrics that are wanted by different stakeholders. Cybersecurity ensured on edge without leaving the factory firewall. Privacy protection for workers including face blurring when appropriate. No facial recognition. Scalable across the factories with low infrastructure requirements. Easy to manage and integrate with most existing enterprise software. We strive to deliver human-centric solutions that improve the working condition, as well as ensure the privacy of workers. Guaranteed 100% no use of facial recognition; aggregated metrics are all that matters. One easy click to blur the faces of operators without affecting the AI performance.
  • 11
    AWS Panorama
    Add computer vision (CV) to your existing fleet of cameras with AWS Panorama devices, which integrate seamlessly with your local area network. Make predictions locally with high accuracy and low latency from a single management interface, where you can analyze video feeds in milliseconds. Process video feeds at the edge, so you can control where your data is stored and operate with limited internet bandwidth. AWS Panorama is a collection of machine learning (ML) devices and a software development kit (SDK) that brings CV to on-premises internet protocol (IP) cameras. Easily track throughput, optimize freight operations, and recognize objects such as parts or products, or text in labels or barcodes. Monitor traffic lanes for issues such as stopped vehicles, and send real-time alerts to staff to keep traffic flowing. Quickly detect manufacturing anomalies so you can take corrective action and decrease costs.
  • 12
    Linker Vision

    Linker Vision

    Linker Vision

    Linker VisionAI Platform is a comprehensive, end-to-end solution for vision AI, encompassing simulation, training, and deployment to empower smart cities and enterprises. It comprises three core components, Mirra, for synthetic data generation using NVIDIA Omniverse and NVIDIA Cosmos; DataVerse, facilitating data curation, annotation, and model training with NVIDIA NeMo and NVIDIA TAO; and Observ, enabling large-scale Vision Language Model (VLM) deployment with NVIDIA NIM. This integrated approach allows for the seamless transition from data simulation to real-world application, ensuring that AI models are robust and adaptable. Linker VisionAI Platform supports a range of applications, including traffic and transportation management, worker safety, disaster response, and more, by leveraging urban camera networks and AI to drive responsive decisions.
  • 13
    Big Sofa Technologies

    Big Sofa Technologies

    Big Sofa Technologies

    Video never lies. Our technology helps you uncover and understand authentic human behaviors and experiences to identify business-changing design, communication, and innovation opportunities. We transform video from the places and spaces where life naturally occurs into actionable data and empathy building content. By tapping into real life, our Lifestream methodology removes the bias from researchers & facilities and introduces a new-to-the-industry data source, uncovering hidden truths from consumers’ lives in near real time. Real life is messy: human behavior is subconscious and based on habit. Lifestream provides a window into everyday life to understand real human experiences and behaviors in an undisturbed context. Our mobile capture methodologies & techniques take you on a consumer’s journey, to experience real moments in their everyday.
  • 14
    Folio3

    Folio3

    Folio3 Software

    Folio3 machine learning company has a team of dedicated Data Scientists and Consultants that have delivered end-to-end projects related to machine learning, natural language processing, computer vision and predictive analysis. Artificial Intelligence and Machine Learning algorithms have enabled companies to utilize highly-customized solutions equipped with advanced Machine Learning capabilities. Computer vision technology has scaled up visual data analysis, introduced new image- based functionalities and transformed the way companies from various verticals utilize visual content. Predictive analytics solutions offered by Folio3 produce effective and fast results, enabling you to identify opportunities and anomalies in your business processes and strategy.
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