An example of using Redis Streams, RedisGears, RedisAI and RedisTimeSeries for Realtime Video Analytics (i.e. counting people)
An example of using Redis Streams, RedisGears and RedisAI for Realtime Video Analytics (i.e. filtering cats)
Implementation of AMDCN, a convolutional neural network for counting objects in images.
Analyzing CCTV videos to find interesting events
Simple as dead support of Redis database for Flask applications
A vision-based tool for transport system flow analysis using Faster R-CNN. This system is able to detect different types of objects, e.g., cars, buses, pedestrians, and classify as well as count them in transport videos with a real-time speech.
Got any useful tips about RedisGears/EdgeRealtimeVideoAnalytics?
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