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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Zenus
You need accurate data. Surveys are rarely filled out. RFID and Bluetooth (BLE) solutions are complex and pricey. Each smart camera passively analyzes hundreds of faces and produces metrics such as impressions, demographics (age/sex), and positive sentiment (happiness) over time. Setting up a camera takes less than 12 minutes and you may access our live dashboard anywhere and anytime. Measure the happiness of people over time by analyzing hundreds of faces with over 95% accuracy. Gain valuable insights about which demographics are the most and least engaged. Perform A/B tests to examine the effectiveness of different activations and content to see what works and why. Obtain powerful data and insights for your sales, marketing, and research efforts. Automatically track the total number of impressions (non-unique) and measure average dwell time to understand people's behavior. Use ethical facial analysis to uncover unique insights about your audience.
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AQUAJI
Aquaji is proprietary software developed by Navori Labs, a Swiss innovator and global leader in AI-enhanced computer vision technologies. Aquaji interprets video feed from one or more cameras to produce reliable and comparable marketing analytics data to measure visitor foot-traffic and customer behavior in physical spaces. For continuous improvement, Aquaji count visitors and gathers demographic data, length of stay, wait time and attention span KPIs.
The software can be used to manage physical stores, assess marketing activities, and improve customer satisfaction. Aquaji will help you understand your store’s traffic patterns, measure the impact of your advertising campaigns, test your product assortment, improve wait time perception, and optimize your staff levels to meet customer demand.
When used in conjunction with Navori’s QL digital signage platform, Aquaji delivers targeted content to any display or device based on the audience profile.
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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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