What You'll Work On
Develop 2D computer vision pipelines for object detection, classification, segmentation, tracking, and image analysis.
Work with stereo, RGB-D, and depth cameras for 3D perception and scene understanding.
Process 3D point clouds using Open3D and Python-based tools.
Work on camera calibration, depth processing, coordinate transformations, and sensor-to-robot calibration.
Develop perception pipelines using OpenCV, NumPy, SciPy, PyTorch/TorchVision.
Experiment with Vision-Language Models (VLMs) for image understanding, visual reasoning, object identification, and task interpretation.
Explore Vision-Language-Action Models (VLAMs), foundation models, and embodied AI for robotic applications.
Build datasets, prepare annotations, evaluate models, and perform inference/benchmarking.
Integrate vision and AI pipelines with robotic applications and real-world sensors.

Must Have




Bachelor's/Master's degree or final-year student in Computer Science, AI/ML, Robotics, Mechatronics, Electronics, or related field.
Solid fundamentals in Python.
Basic-to-valuable understanding of Computer Vision and image processing.
Hands-on exposure to OpenCV, NumPy, and PyTorch/TorchVision.
Understanding of basic 2D/3D geometry, depth, point clouds, coordinate frames, and transformations.
Familiarity with Linux/Ubuntu and Git.

Valuable to Have
Open3D and 3D point-cloud processing.
RGB-D/stereo cameras such as Orbbec, RealSense, or equivalent.
YOLO, Grounding DINO, SAM/SAM2, or equivalent models.
VLMs such as Qwen-VL or similar multimodal models.
ROS2, robotics simulation, Docker, CUDA, or NVIDIA platforms.
Camera/hand-eye calibration or exposure to robotics and embodied AI.

📌 Vlm Internship Chennai
🏢 Spritle Software
📍 Chennai