Object Detection Utilizing Machine Learning

The application of machine learning (ML) for object detection and classification is becoming an urgent need within the embedded systems industry--especially for Internet of Things (IoT), security, advanced driving assist systems (ADAS), and industrial automation-based systems. However, object detection is a complex topic and ML is relatively new, so developing ML applications to detect objects can be difficult and cumbersome. For example, object detection has traditionally required developers to learn a framework like OpenCV and to purchase thousands of dollars in computer equipment in order to be successful. As such, traditional approaches to object detection and machine vision are not just time consuming, they are also expensive. For engineers looking to apply ML for object detection and machine vision applications without the need to become an expert in ML or spend a small fortune on equipment, the Python programmable OpenMV H7 camera module from SparkFun Electronics is an innovative solution.