Note: recently worked with Lidar Helios 2 camera, lets discuss over chat
With my broad range of skills, deep experience, and strong abilities in artificial intelligence and machine learning, I am the ideal freelancer for your FastSLAM Raspberry Pi project. Python is the primary language I work with, allowing me to implement the FastSLAM algorithm seamlessly. Having worked at my previous job for over 12 years, I have developed extensive expertise in various fields of artificial intelligence such as computer vision, machine learning, deep learning, and image processing.
My proficiency in leveraging Python libraries like TensorFlow, Keras, PyTorch as well as OpenCV makes me perfectly suited to build a real-time Lidar data visualization system for your project. Through my skillful use of computer vision techniques including object detection, image segmentation and facial recognition using libraries such as OpenCV and Dlib I will ensure precise interpretation of Lidar-scanned data.
Moreover, having prior experience with Raspberry Pi and Arduino devices only adds to the value I'll bring to your project. As I've mentioned earlier, apart from my technical skills and abilities, I also have a solid background in developing RESTful APIs and integrating AI models into web and mobile applications which will play a vital part in successful map display and accurate trajectory showcasing process.