Abstract: A system and method for synchronizing two-dimensional (“2D”) camera data for object recognition. An object recognition kiosk includes a plurality of 2D cameras and a stage for placement of one or more items. The plurality of 2D cameras capture images of items on the stage from multiple angles. The images received from the 2D cameras are concatenated into a single image. The concatenated image is processed by a trained machine learning model that analyzes and detects items present in each of the camera images that make up the concatenated image and generates 2D bounding boxes around each item. Once items are detected in the concatenated image, sensor fusion is performed based on the detected items and the bounding boxes to synchronize the image data from each of the cameras. The sensor fusion process enables the system to accurately identify the one or more items that are present on the stage.