Learn how object detection and object-tracking algorithms work based on our real project. Discover differences, uses, implementation, and other details.

An Android developer at LS explains how to embed computer vision into an Android app, using TensorFlow.

Caring about the steadiness of a customer's service is one of a developer's top priorities. That's why you need to implement the HTTP 429 feature that rate-limits the number of client requests from an app. Make your software solution as steady as a rock by using our practical code examples of rate limits created via the Retrofit library.

Learn how Lemberg built a computer vision and edge computing PoC for retail using a Raspberry Pi and the Intel Movidius NCS.

There are many different ways to interact with smartphones these days: touchscreen, hardware buttons, fingerprint sensor, video camera (e.g., face recognition), D-PAD, handset controls, and so on. But how about using motion gestures?

Audio latency is what you first encounter while developing any audio application for Android using a microphone. You can develop an app and find long audio delays in its work during testing or there is a better way… Here is a step-by-step guide on how to check the audio latency of an Android app before the start of development.

This article covers the topic of developing an Android Chromecast-ready application: below you’ll find some notes, comments and advice for the developers, as well as code samples and source code of the app built by Lemberg’s team.