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Anthony Cavin
Data Scientist - ML/AI, Python, TypeScript

A data scientist specializing in machine learning, AI, Python, and TypeScript, with a strong interest in applying these technologies to data-driven projects and innovative AI solutions.

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Implementing AI for Real-Time Anomaly Detection in Images

· 8 min read
Anthony Cavin
Data Scientist - ML/AI, Python, TypeScript

Photo by Randy FathPhoto by Randy Fath on Unsplash

The journey of taking an open-source artificial intelligence (AI) model from a laboratory setting to real-world implementation can seem daunting. However, with the right understanding and approach, this transition becomes a manageable task.

This blog post aims to serve as a compass on this technical adventure. We'll demystify key concepts, and delve into practical steps for implementing anomaly detection models effectively in real-time scenarios.

Let's dive in and see how open-source models can be implemented in production, bridging the gap between research and practical applications.

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Benchmark against MinIO and InfluxDB

· 6 min read
Anthony Cavin
Data Scientist - ML/AI, Python, TypeScript

Benchmarks don't lie, let's put the systems to the ultimate test.

Diagram of ReductStore vs MinIO and InfluxDB benchmark on Edge Device HX401ReductStore vs. MinIO & InfluxDB on Edge Device HX401

For anyone deeply immersed in the engineering world of Edge Computing, Computer Vision, or IoT, you'll want to read further to understand why a time series database for blob data is needed and where it stands out.

Enter our contest: First, we have ReductStore—a time series database for blob data—specifically designed for edge devices.

Its counterpart? The duo of MinIO and InfluxDB, each optimized for their niche in blob storage and time-series data respectively.

In a head-to-head comparison, which system really leads in performance and wins the speed race?

Let's roll up our sleeves and deep-dive into this benchmarking analysis to separate fact from fiction.