Best Computer Vision Software in South America - Page 2

Metavision is a sophisticated software toolkit for event-based vision, created by Prophesee, that aims to streamline the assessment, design, and commercialization processes of event-based vision products. This software development kit (SDK) provides an extensive array of tools comprising 64 algorithms, 105 code examples, and 17 tutorials, which empower developers to create and implement event-driven applications effectively. With its open-source framework, the Metavision SDK promotes seamless compatibility between software and hardware components, nurturing a thriving community focused on event-based vision technologies. The toolkit encompasses a diverse array of computer vision disciplines, including machine learning, camera calibration, and high-performance applications. Developers benefit from a wealth of detailed documentation, amounting to over 300 pages of programming guides and reference materials, which lays a strong groundwork for product innovation. Furthermore, the Metavision SDK5 PRO version comes with enhanced features such as high-speed counting and spatter monitoring, among other advanced capabilities, elevating the potential for developers to create cutting-edge solutions. With such comprehensive resources at their disposal, users can confidently explore the possibilities of event-based vision technology.

Qwen2.5-VL marks the latest iteration in the Qwen vision-language model series, showcasing notable improvements compared to its predecessor, Qwen2-VL. This advanced model demonstrates exceptional capabilities in visual comprehension, adept at identifying a diverse range of objects such as text, charts, and various graphical elements within images. Functioning as an interactive visual agent, it can reason and effectively manipulate tools, making it suitable for applications involving both computer and mobile device interactions. Furthermore, Qwen2.5-VL is proficient in analyzing videos that are longer than one hour, enabling it to identify pertinent segments within those videos. The model also excels at accurately locating objects in images by creating bounding boxes or point annotations and supplies well-structured JSON outputs for coordinates and attributes. It provides structured data outputs for documents like scanned invoices, forms, and tables, which is particularly advantageous for industries such as finance and commerce. Offered in both base and instruct configurations across 3B, 7B, and 72B models, Qwen2.5-VL can be found on platforms like Hugging Face and ModelScope, further enhancing its accessibility for developers and researchers alike. This model not only elevates the capabilities of vision-language processing but also sets a new standard for future developments in the field.

Scandit gives superpowers to workers, customers and businesses by providing actionable insights and automating end-to-end processes. Scandit's Smart Data Capture platform captures data from barcodes, text, IDs and objects with unmatched speed, accuracy and intelligence. For retail store associates, Scandit helps them to increase efficiencies, automate processes and reduces manual, tedious tasks both front and back of house. We enable smart devices to streamline order fulfilment and store operations, enabling store associates to spend more time engaging customers to drive loyalty. For customers, Scandit enhances their in-store experience by blending the benefits of online and physical shopping. Customers can receive information about products and skip queues with mobile self-scanning and display personalized offers through AR on their own smartphone. For post and parcel, Scandit digitalizes end-to-end processes, while increasing efficiency and productivity. Enabling smart devices to simplify and automate tasks like van loading, proof of delivery or PUDO workflows. For air travel, we reduce cost and time of airport operations and passenger handling through mobile scanning boarding passes, passports and luggage tags.

Whether you want to sell more spare parts, support your parts desk and hotline team. or drive maintenance efficiency, Partium can help with that. Partium is a multi-modal AI-supported Enterprise Part Search. It makes it easy for your users in Maintenance and After sales & Service environments to find parts in spare parts portals, web shops, and maintenance systems. It allows technicians to search by image, text, filter, bill of materials, and tags. Hotline agents can confirm part search results and connect with the users. Partium also offers insights in your users' search behavior. Partium handles millions of spare part searches every month. Caterpillar, Parker, Liebherr, Deutsche Bahn, New Holland, The Home Depot, ENGEL, Wien Energie, and many other companies use Partium to provide not just a great search for their internal employees and customers, but a search that converts at higher rates because of relevancy, accuracy, and ease-of-use.

Interplay Platform is a patented low-code platform with 475 pre-built Enterprises, AI, IoT drag-and-drop components. Interplay helps large organizations innovate faster. 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.

Amazon Rekognition simplifies the integration of image and video analysis into applications by utilizing reliable, highly scalable deep learning technology that doesn’t necessitate any machine learning knowledge from users. This powerful tool allows for the identification of various elements such as objects, individuals, text, scenes, and activities within images and videos, alongside the capability to flag inappropriate content. Moreover, Amazon Rekognition excels in delivering precise facial analysis and search functions, which can be employed for diverse applications including user authentication, crowd monitoring, and enhancing public safety. Additionally, with the feature known as Amazon Rekognition Custom Labels, businesses can pinpoint specific objects and scenes in images tailored to their operational requirements. For instance, one could create a model designed to recognize particular machine components on a production line or to monitor the health of plants. The beauty of Amazon Rekognition Custom Labels lies in its ability to handle the complexities of model development, ensuring that users need not possess any background in machine learning to effectively utilize this technology. This makes it an accessible tool for a wide range of industries looking to harness the power of image analysis without the steep learning curve typically associated with machine learning.

The premier platform designed for the complete computer vision process allows you to evolve from image annotation to precise neural networks at speeds up to ten times quicker. Utilizing our exceptional data labeling tools, you can convert your images, videos, and 3D point clouds into top-notch training data. This enables you to train your models, monitor experiments, visualize results, and consistently enhance model predictions, all while constructing custom solutions within a unified environment. Our self-hosted option ensures data confidentiality, offers robust customization features, and facilitates seamless integration with your existing technology stack. This comprehensive solution for computer vision encompasses multi-format data annotation and management, large-scale quality control, and neural network training within an all-in-one platform. Crafted by data scientists for their peers, this powerful video labeling tool draws inspiration from professional video editing software and is tailored for machine learning applications and beyond. With our platform, you can streamline your workflow and significantly improve the efficiency of your computer vision projects.

Develop training datasets for computer vision models using our comprehensive management solution. We are convinced that the quality of data labeling plays a crucial role in crafting successful deep learning models. Our mission is to establish ourselves as the foremost data labeling platform in the industry, enabling businesses to fully leverage the potential of AI technology. Organize your media assets into distinct categories for better management. Highlight specific items of interest using one or multiple bounding boxes to enhance detection accuracy. Utilize bounding boxes with added precision for more detailed annotations. Provide accurate measurements of width, depth, and height for various objects. Classify every pixel in an image for fine-grained analysis. Identify and mark individual points to capture specific details within images. Annotate straight lines to assist in geometric assessments. Measure critical attributes like yaw, pitch, and roll for items of interest. Keep track of timestamps in both video and audio content for synchronization purposes. Additionally, annotate freeform lines in images to capture more complex shapes and designs, enhancing the depth of your data labeling efforts.

We make it easy for you to add superhuman computer vision into your applications, devices, and processes to give yourself an unassailable competitive edge.

The NtechLab platform is designed to analyze video content, identifying human faces, bodies, actions, vehicles, and license plates with impressive precision. Utilizing advanced AI technology, it achieves exceptional speed and accuracy, setting new standards for recognition capabilities. The FindFace Multi system enhances this by offering multi-object recognition and analytical features, which are particularly beneficial for both public sector applications and various business needs. This technology enables swift and precise identification of faces, human forms, cars, and license plates in real-time video feeds or archived footage. Users can search through databases or archives not only by image samples but also by distinctive characteristics such as age, clothing color, or vehicle type. The dedicated team at NtechLab is continually refining these recognition algorithms to boost their effectiveness and precision further. With FindFace Multi, the process of detecting a face in live video, recognizing it, and finding a corresponding match in a vast database can be accomplished in under a second, making it an invaluable tool for real-time surveillance and analysis. Furthermore, this rapid response capability ensures that users can act promptly on the information gathered, enhancing security and operational efficiency.

Unleash Live is a provider of AI-driven video analytics solutions aimed at enterprises. We utilize any camera's vision and merge it with advanced computer vision technology to generate actionable insights in real-time, allowing your organization to reduce costs, enhance productivity, boost accuracy, and increase safety. Our platform supports a diverse array of cameras, enabling connections between various types such as IP/CCTV, drones, body cameras, mobile devices, or robotic cameras. You can live stream footage from the field to your team while operations unfold, or conveniently upload recordings to your account for later access. With our app store, you can employ AI applications to detect, inspect, and monitor objects of interest, as well as create detailed 2D orthomaps and 3D models. Moreover, our solutions seamlessly integrate with your operational processes, offering features like live dashboards, notifications, and API connections. By simplifying collaboration, we facilitate instant connections between any combination of cameras for live broadcasts to stakeholders and third parties. The entire experience is browser-based, eliminating the need for plugins or downloads, which allows for effortless accessibility and use. This innovation empowers teams to make informed decisions quickly and efficiently.

We aim to relieve ML engineers from the burdens of data engineering so they can concentrate on their passion for developing superior models more efficiently. Our innovative product serves as a robust framework that simplifies and accelerates the process for developers to discover, comprehend, and disseminate visual data on a large scale, making it ten times easier. Users can automatically generate custom interval attributes using pre-trained extractors or any model of their choice, enhancing the flexibility of data manipulation. The platform allows for effective data visualization and the analysis of model performance by leveraging custom attributes alongside standard KPIs. This functionality enables users to query data, identify rare edge cases, and curate new training datasets across their entire data lake with ease. Additionally, it facilitates the seamless saving, editing, versioning, commenting, and sharing of frames, sequences, or objects with both colleagues and external partners. SiaSearch stands out as a data management solution that automatically extracts frame-level contextual metadata, streamlining fast data exploration, selection, and evaluation. By automating these processes with intelligent metadata, engineering productivity can more than double, effectively alleviating bottlenecks in the development of industrial AI. Ultimately, this allows teams to innovate more rapidly and efficiently in their machine learning endeavors.

An innovative solution for real-time computer vision and sophisticated image processing utilizes cutting-edge convolutional neural network models. This product has primarily found applications in areas such as building management, identity verification, fraud detection, and manufacturing quality control. With over ten years of experience, Winjit stands out as a prominent technology provider in India, consistently delivering engineering innovations across various sectors. Their commitment to excellence continues to drive advancements in technology solutions.

Alteia, a leader in AI software platforms, enables digital transformation via visual data analysis. It supports any industry-critical business need, such as predictive maintenance and safety analysis, yield estimation, and productivity management. Alteia is a combination of computer vision and AI technologies. It can securely provide different industries with a single database for all their visual data and then build high-value applications.

Enhance operational efficiency while minimizing risks and costs with Vyn SmartVideoNotes, which enables the swift capture of structured data through video into enterprise systems, replacing manual or text-based forms in just 60 seconds. This solution provides timely, auto-labeled, and detailed data that fosters greater compliance and boosts productivity, allowing leaders to gain insights that enable quicker decision-making. With an enterprise-level security framework and an open API SaaS platform, Vyn seamlessly integrates into various workflows, including CRM systems like Salesforce, field service management, and human resource platforms. Utilizing AI-driven computer vision and natural language processing, Vyn offers video search and analysis capabilities, transforming qualitative data into quantitative insights for more informed business strategies. By leveraging Vyn, organizations can invigorate their processes and quickly extract intelligence from their field teams, giving them a comprehensive view of ongoing activities and their underlying reasons. Vyn captures SmartVideoNotes efficiently, engaging the right individuals with targeted questions in under a minute, ensuring that vital information is never missed. This rapid data collection method not only streamlines operations but also enhances overall organizational agility.

viAct, an AI company that focuses on ESG, provides "Scenario based Vision Intelligence" solutions for the AEC industry in Asia, Europe and the Middle East. Since its inception in 2016, viAct has successfully deployed hundreds of its proprietary AI algorithms. They provide extremely detailed insights into job sites and transform vision into practical actions. The 30+ pre-built AI modules allow stakeholders to reduce accidents, optimize costs, and track environmental non-compliances. viAct is a 2020 Top 50 Global ConTech Startup. Its disruptive AI navigation solution makes it easier than humans to manage man-made environments.

Streamline your machine learning endeavors with our state-of-the-art vision AI platform, designed specifically for rapid and efficient development of video analytics applications. Featuring intuitive, no-code point-and-click functionalities all within a single interface, Plainsight significantly reduces your production time and enhances the effectiveness of vision AI-driven solutions across various sectors. Manage and control cameras, sensors, and edge devices seamlessly from one platform. Gather precise training datasets that lay the groundwork for high-quality model training. Speed up the labeling process through advanced polygon selection, predictive labeling, and automated object recognition techniques. Train your models effortlessly with a revolutionary method aimed at minimizing the time required for vision AI implementations. Moreover, deploy and scale your applications swiftly, whether at the edge, in the cloud, or on-premise, to fulfill your business requirements effectively. This comprehensive approach not only simplifies complex tasks but also empowers teams to innovate rapidly.

Eliminate the need for wearables, goniometers, or any additional tools to assess and monitor employee safety without disrupting production. Say goodbye to tedious assessment forms, allowing you to concentrate on providing effective recommendations. Effortlessly oversee videos and evaluation outcomes across various teams and devices. Our enterprise-level features help optimize your resources efficiently. The platform comprises both a mobile and web application that seamlessly integrates for team collaboration across different locations, offering automatic suggestions for postures that need attention and a comprehensive dashboard to monitor performance trends over time, ensuring a holistic approach to workplace safety management. This innovative system not only enhances productivity but also fosters a proactive safety culture within the organization.

Ai-rgus employs advanced Artificial Intelligence alongside specially designed software to swiftly identify issues related to camera views, including misconfigurations or failures of cameras, NVRs, and DVRs, incorrect timestamps, and insufficient or missing recording days. By utilizing Ai-rgus, users can significantly reduce the time spent on manual checks while ensuring their surveillance systems capture critical footage before incidents occur. This automation not only enhances efficiency by minimizing the need for manual camera reviews but also supports seamless expansion of camera systems. The AI-driven verification process is dependable and uniform, offering proactive assurance that essential images are available, particularly for incidents like slip and fall cases and theft prevention. With Ai-rgus, users can rest assured that camera verification tasks are completed to a high standard, accompanied by automatic email alerts for any discrepancies that arise. This level of oversight fosters a safer environment by allowing for quick responses to potential security issues.

CVEDIA-RT is our advanced AI software suite that comes equipped with numerous video analytics and computer vision tools right out of the box. It is designed to be user-friendly, allowing for easy configuration and customization tailored to your specific needs, regardless of whether you have a technical background. With a single, affordable price, you gain access to our complete range of AI solutions, both current and future, enabling you to explore new possibilities and enhance your AI capabilities without any risk. Should you need features that are not available or wish to operate on a different device, we are more than willing to create custom solutions that meet your unique specifications. Feel free to contact us for a complimentary consultation! What distinguishes us from other providers is our innovative approach to using synthetic data. Our analytics deliver higher accuracy, speed, and cost-effectiveness compared to conventional methods. We understand that your team is busy and facing tight deadlines; therefore, if you prefer, we can manage everything from the development phase to the integration of analytics, allowing you to focus solely on building your product around it while we handle the technical details. Additionally, our commitment to customer support ensures that you are never alone on this journey.

We will manage your visual data so you can focus on creating amazing products. Our platform allows for seamless integration with a variety of data sources, including local disks, network files systems, and major cloud providers like AWS, GCP, Azure, and others. Visual Layer scans all your data, whether it is 10K or 50B images. It continuously alerts you to any quality issues. Data management is made easy and efficient with our platform's automated resolution of data quality issues. Data quality issues can be resolved quickly and accurately with automatic resolution capabilities. Resolve all data quality issues effortlessly and automatically. Automatically identify data quality issues and gain valuable insights. Ingest data from any sources seamlessly. Visual Layer in the cloud. Save up to 95% on your labeling costs Manage billions of images, videos and other media.

Voxel51 is the driving force behind FiftyOne, an open-source toolkit designed to enhance computer vision workflows by elevating dataset quality and providing valuable insights into model performance. With FiftyOne, you can explore, search through, and segment your datasets to quickly locate samples and labels that fit your specific needs. The toolkit offers seamless integration with popular public datasets such as COCO, Open Images, and ActivityNet, while also allowing you to create custom datasets from the ground up. Recognizing that data quality is a crucial factor affecting model performance, FiftyOne empowers users to pinpoint, visualize, and remedy the failure modes of their models. Manual identification of annotation errors can be labor-intensive and inefficient, but FiftyOne streamlines this process by automatically detecting and correcting label inaccuracies, enabling the curation of datasets with superior quality. In addition, traditional performance metrics and manual debugging methods are often insufficient for scaling, which is where the FiftyOne Brain comes into play, facilitating the identification of edge cases, the mining of new training samples, and offering a host of other advanced features to enhance your workflow. Overall, FiftyOne significantly optimizes the way you manage and improve your computer vision projects.

FlyPix AI is a platform for advanced object detection that analyzes satellite and drone images. FlyPix AI allows users to detect, segment and locate objects and areas. It also tracks changes and detects anomalies in geospatial data. Its intuitive and user-friendly interface allows users to create customized use case and extract valuable data from earth observation data without any coding knowledge.

Develop a tailored computer vision model in just a few minutes. With AI Custom Vision, a feature of Azure AI Services, you can personalize and integrate top-tier image analysis capabilities for various fields. This technology enables you to enhance customer interactions, streamline manufacturing workflows, boost digital marketing efforts, and much more, all without needing any background in machine learning. You can configure the model to recognize specific objects relevant to your needs. Building your image recognition model is straightforward, thanks to the user-friendly interface. Initiate the training process by simply uploading and tagging a handful of images, allowing the model to evaluate its performance and enhance its accuracy through continuous feedback as you incorporate more images. To accelerate your development, take advantage of ready-made models tailored for sectors like retail, manufacturing, and food service. Discover how Minsur, a leading tin mining company, leverages AI Custom Vision to promote sustainable mining practices. Additionally, you can trust that your data and trained models will be protected by enterprise-level security and privacy measures, ensuring peace of mind as you innovate. The ease of use and adaptability of this technology opens up endless possibilities for various applications.

Yandex Vision OCR is capable of identifying and extracting text from images while also adding automatic punctuation to the output. This advanced service can automatically recognize and support over 50 languages. It efficiently extracts standard fields and processes text from various templates and documents, including passports, driver’s licenses, vehicle registration certificates, and license plates. The system is proficient in handling both Russian and English languages, accommodating combinations of handwritten and printed texts seamlessly. It also intelligently analyzes table structures, delivering text in organized row and column formats. In addition to optical character recognition (OCR) and document identification, it includes functionalities for recognizing license plate numbers. Yandex Vision OCR supports file formats such as JPEG, PNG, and PDF, with a maximum file size limit of 20 MB and up to 300 pages per document. Notably, the service can effectively scan images to locate passports from 20 different countries, along with various types of driver’s licenses, vehicle registration papers, and license plates, making it a versatile tool for document processing. Overall, it enhances efficiency in text recognition tasks across a wide range of applications.