Implementing Instant Object Detection in Live Image Streams using TFLite

This article is written by Vadym Pinchuk

TL;DR

In Flutter’s early days in 2019, I developed a live object detection system for a major German company, despite the platform’s constraints. With release of Flutter 3.7 and advancements of TensorFlow have catalyzed the need to refine or overhaul this approach.

This article discusses the newest techniques in live-stream object detection as showcased in the flutter-tflite GitHub repository.

Intro

Back in 2019, during Flutter’s early rise, I undertook a project for a prominent German company: the challenge was to enable live object detection for ongoing operations. Despite the limitations of the Flutter framework at the time, I successfully devised a solution and detailed my findings in this article. This method provided adequate ’live-stream’ object detection to meet the company’s needs.