LandingLens
An end-to-end visual inspection platform designed to manage data, accelerate troubleshooting, and scale deployment. See why LandingLens, an AI visual inspection platform works for business. Speeds up your labeling process by as much as 50% and reduces your model deployment time by up to 67%. Manages a few to thousands of models with minimal resources. Improves the accuracy of your machine learning models with data generation and smart labeling. Track and manage the efficiency of AI projects, current data assets, and deployed solutions across all company site locations. Identifies issues caused by the environment and raises alerts when the model drifts. Easily update and adjust your solutions without being beholden to a 3rd party AI team. Enable manufacturers to create, deploy, and manage industrial AI projects on a single integrated end-to-end platform.
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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.
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Neurala
Neurala is on a mission to help manufacturers improve their vision inspection process. Supply chain issues, labor shortages, and the risk of recalls are driving the need for more automation. Our Visual Inspection Automation (VIA) software goes beyond the capabilities of traditional machine vision in detecting anomalies and defects, even when products have natural variations. Using our proven vision AI technology, manufacturers can scale production, reduce waste and adapt to workforce changes, while achieving even higher levels of quality control. Neurala software uses our patented Lifelong-Deep Neural Network (L-DNN)™ technology, offering the first cost-effective vision AI tool that can be easily retrofitted into your existing production line infrastructure, without the need for AI experts or expensive capital expenditures. Neurala gives you the flexibility to deploy your vision AI models to meet your specific business needs, either to the cloud or on-premise.
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Google Cloud Vision AI
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
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