A personable and highly motivated data scientist proficient in harnessing data for a wide range applications like forecasting models, sentiment analysis, image classifier and object detectors. Databricks certified and highly experienced with frameworks like Tensorflow, Pytorch, Keras, MLFlow and Delta Lake.
May 26, 2021 11:30 AM PT
Surveillance feed has essentially been monitored manually until recent years. Video analytics as a technology has made great strides and leverages video surveillance networks to derive searchable, actionable, and quantifiable intelligence from live or recorded video content.
Driven by artificial intelligence and deep learning, video intelligence solutions detect and extract objects in a video. These solutions identify target objects based on trained Deep Neural Networks and then classify each object to enable intelligent video analysis, including search & filtering, alerting, data aggregation and visualization.
In our session, we will:
With the basics covered, it's LIGHTS! CAMERA! ACTION ....Let us show you how this works. We will be presenting a live demo that will explain the performance-computing trade-offs between the use of different models, techniques, and their limitations.
What you can expect to take away from our session: