Case Study
Ruslan Yanchyshyn
Android Developer
17 minutes
Learn how object detection and object-tracking algorithms work based on our real project. Discover differences, uses, implementation, and other details.
17 minutes
An Android developer at LS explains how to embed computer vision into an Android app, using TensorFlow.
7 minutes
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.
13 minutes
Learn how Lemberg built a computer vision and edge computing PoC for retail using a Raspberry Pi and the Intel Movidius NCS.
11 minutes
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?
6 minutes
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.
5 minutes
Have you ever thought about different vehicle parameters being displayed in your own Android application? If so, then you've come to the right place. We will discuss what it takes to develop an OBDII reader application.