Identification and recognition - software - Import export

An easy way to automate a variety of processes such as medical masks stock control. It will allow you to use all the benefits of video analytics without using the Internet, high-power servers and other additional equipment. Advantages: Can work without internet connection USB and IP cameras can be connected Voice announcement Detection of incorrectly worn masks Integration with various access control systems, turnstiles, etc. Integration with CCTV systems An IP camera is a digital video camera, with a feature of the transmission of a video stream in digital format using the IP protocol. USB camera - a digital video camera capable of capturing images in real time for further transmission via the Internet, connected to a personal computer via a USB port. The module is able to recognize: Medical masks Worker helmets Can learn to recognize many more Recognition probability up to 99% Up to 5 people in the frame at the same time Recognition at a distance of 0.3 to 1.

Artificial Intelligence solutions take a great part of our expertise. Our AI team is developing solutions solving the following tasks: - Image and video visual content analysis - Text analysis - Intelligent chatbots and speech recognition solutions - Biometric recognition solutions - Predictive solutions for manufacturing - Intelligent recommendation systems AI stack implemented by our development team: Python: torch, Tensorflow, OpenCV, SQLAlchemy, nltk, sklearn, pandas Objective C, Swift, Kotlin: CoreML, Tensorflow Lite, MLKit IBM Watson, Google AI services When working on machine learning tasks, we follow CRISP-DM methodology. The typical workflow includes the following activities: - Understanding the task (classification, forecasting, etc.) - Data preparation (may require the involvement of domain experts) - Developing and training the model - Evaluating the results and further enhancements

With our plant identification API, we make use of this experience and bring smart solutions to businesses and organisations. We work with a wide variety of companies from different fields like smart gardening, nature conservation or agriculture.