Computer Vision Capabilities | training and testing in machine learning | NextWealth
Watch this video to know more about our Computer Vision capabilities and how we can add value to various industries
𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 -
𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗩𝗲𝗵𝗶𝗰𝗹𝗲: Enable the vehicles of the future to comprehend surroundings and help them perceive different objects and signs on the road to avoid crashes and mishaps.
𝗥𝗲𝘁𝗮𝗶𝗹: Identify different types of objects sold in retail stores and help visual search machines recognize clothing or other accessories brought by customers, enable complete checkoutless shopping experience or offer an effective solution for quality and process control.
𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲: Significantly improve medical diagnosis to analyze various scans and imaging to detect anomalies such as tumors or search for signs of critical illnesses.
𝗥𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝘀𝗽𝗼𝗿𝘁𝘀 𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴: Accurately track players from game footages or poses to identify individual playing styles, drive meaningful insights from the game, and enhance the spectator experience of a sport.
𝗗𝗿𝗶𝘃𝗲𝗿 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴: Prevent vehicles and other passengers from being involved in a mishap or accident, by accurately detecting driver drowsiness, distraction, and over- speeding.
𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗥𝗲𝗮𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗠𝗶𝘅𝗲𝗱 𝗥𝗲𝗮𝗹𝗶𝘁𝘆: Cover and embed virtual objects on real-world imagery to enable computing devices and IOTs to establish concepts of depth and dimensions.
𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀:
𝟭. 𝗕𝗼𝘂𝗻𝗱𝗶𝗻𝗴 𝗕𝗼𝘅: Effortlessly outline objects in a box for high-quality training data for diverse businesses.
𝟮. 𝗣𝗼𝗹𝘆𝗴𝗼𝗻 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻: Mark contours in asymmetrical and coarse objects from images and videos, to make it machine friendly.
𝟯. 𝗟𝗮𝗻𝗲 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻: Detect streets accurately to perceive surroundings, ensuring trouble-free driving.
𝟰. 𝗞𝗲𝘆 𝗽𝗼𝗶𝗻𝘁 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻: Use key points to identify and determine unique shapes and details of objects.
𝟱. 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Tag each pixel of an image distinctly for fine-grained interpretation of images.
𝟲. 𝗩𝗶𝗱𝗲𝗼 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Identify actions, people, and objects from different frames in videos.
𝟳. 𝗩𝗶𝗱𝗲𝗼 𝗢𝗯𝗷𝗲𝗰𝘁 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴: Detect one or multiple points of interest in each frame of a video.
𝟴. 𝗔𝗰𝘁𝗶𝗼𝗻 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Identify social interactions and differentiate between actions and consequences.
𝟵. 𝗢𝗯𝗷𝗲𝗰𝘁 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝟯𝗗 𝗣𝗼𝗶𝗻𝘁 𝗖𝗹𝗼𝘂𝗱: Label the objects at every single point with the highest accuracy and advanced annotations.
𝟭𝟬. 𝟯𝗗 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Divide and tag objects of interest in 3D images and label each pixel with a corresponding class.
𝟭𝟭. 𝗣𝗢𝗜 𝗧𝗮𝗴𝗴𝗶𝗻𝗴: Detect clear and stable points of interest for subsequent processing of various data points.
𝟭𝟮. 𝗗𝗮𝗺𝗮𝗴𝗲 𝗔𝗿𝗲𝗮 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻: Make asymmetrical and coarse objects in images and videos, machine friendly.
𝟭𝟯. 𝗙𝗼𝗼𝘁𝗽𝗿𝗶𝗻𝘁 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻: Detect clear and stable points of interest for subsequent processing of various data points.
𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 𝘁𝗼 𝗼𝘂𝗿 𝗰𝗵𝗮𝗻𝗻𝗲𝗹 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻:
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