AlphaEye

Analytiks is a cloud-based traffic-counting solution that helps stores, shopping malls, stadiums, and entertainment venues understand the flow of people throughout their spaces. Built atop the Cisco Meraki camera infrastructure, Analytiks enables real-time monitoring of store occupancy, providing insights through in-store points of interest (POI), zone labeling, heat mapping, and more. It offers features such as multi-entrance and exit detection, real-time occupancy counts, web-based portal access, API feeds, free Wi-Fi access via Cisco, and CRM integration. Users can receive SMS or email alerts when a venue reaches a critical occupancy point, allowing for immediate action. Analytiks ensures privacy compliance by performing people detection on the edge using code generated by Meraki's cameras, meaning video feeds remain on-premise and no personal information is collected. Instead, randomly generated object IDs and metadata are analyzed and displayed on a web-based dashboard.

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.