Point Cloud and LiDAR Object Detection and 3D Modeling using Python programming(AI, ML, DL). 

We are a leading firm specializing in advanced technologies for 3D modeling and object detection. We are expanding our team and are on the lookout for highly skilled individuals to join us in developing custom software solutions utilizing point cloud and LiDAR data.

Location: New Delhi, Delhi, India

Job Type: Full-time

Salary: inr58,000 to 70,000/-, commensurate with experience and qualifications.

REQUIREMENTS:

Expertise: Deep understanding of AI, Machine Learning, and Deep Learning methodologies.

Experience: Minimum of 3 to 4 years of relevant industry experience.

Proficiency in: NumPy, Matplotlib, TensorFlow, PyTorch, Scikit-learn, Open3D Library, KNN, PointNet++, Point Cloud Library (PCL), Ransac, Convex Hull, Principal Component Analysis(PCA) and among others.

Additional Qualifications: Prior experience in point cloud and LiDAR-based object detection and modeling is highly preferred.

PROJECTS:

Object Detection: Developed algorithms to process point cloud and LiDAR data for identifying various geometrical shapes, including cylinders, rectangles, squares, and complex forms, using advanced AI and ML techniques.

3D Model Generation: Created precise 3D models from detected geometries, leveraging LiDAR data for applications in architectural design, industrial planning, and virtual simulations.

Point Cloud Classification: Implemented classification models to categorize point cloud data into different object types (buildings, vehicles, vegetation) using deep learning frameworks like PointNet++ and TensorFlow.

Automated Feature Extraction: Designed systems to automatically extract critical features from point clouds, such as edge detection, surface normals, and object boundaries, enabling faster data processing for engineering projects.

Pipeline Optimization: Developed and optimized a data processing pipeline to handle large-scale point cloud datasets, improving the efficiency of object detection and 3D model generation.

Applications: LiDAR Data Processing, Object Detection, 3D Modeling, Point Cloud Segmentation, Data Visualization.