Demo - Sports App using AI and Computer Vision - Recognize Players - Sports Videos Processing
Budget: $250 – $750 USD
We need to develop a DEMO of a sports platform that allows us to show with frames and videos the ability to manually select a soccer player on the field, a video of placing boxes on all the players on the field and being able to select a player, place the name on the top , that the upper tag follows it around the field, then render and at the end a report with statistics such as those of soccer manager (Heat map, maximum speed, route, position, etc.)
To underestand the scope after this, we will need the real platform to (then you can quote this too):
- Paste videos from 2 sport cameras like go pro seamless
- Being able to upload a single video (not necessarily 2 videos) to process that
- Being able to paste videos one after another into one (sequence one after another)
- Being able to manually select a player and put their name on top (any uploaded video): Let the name follow the player while on screen. If the player go out the video, then you can tag again that player.
- Being able to select more than one player manually and put their name on top (any uploaded video)
- Render that result to get a player-edited video (highlight): per player if we select more than one player
- Insert bands in the rendering of the video as sponsor
- Identify all players on the field automatically
- Identification of the ball on the court
- Perform digital zoom even video either selecting a player or tracking the ball
- Determine maximum speed of a player while appearing in the video
- Identify the numbers of the players' shirts on the field: Which players are from one team and which players are from another
To underestand the scope after this, we will need the real platform to (then you can quote this too):
- Paste videos from 2 sport cameras like go pro seamless
- Being able to upload a single video (not necessarily 2 videos) to process that
- Being able to paste videos one after another into one (sequence one after another)
- Being able to manually select a player and put their name on top (any uploaded video): Let the name follow the player while on screen. If the player go out the video, then you can tag again that player.
- Being able to select more than one player manually and put their name on top (any uploaded video)
- Render that result to get a player-edited video (highlight): per player if we select more than one player
- Insert bands in the rendering of the video as sponsor
- Identify all players on the field automatically
- Identification of the ball on the court
- Perform digital zoom even video either selecting a player or tracking the ball
- Determine maximum speed of a player while appearing in the video
- Identify the numbers of the players' shirts on the field: Which players are from one team and which players are from another
Related categories:
Mobile App Development
Machine Learning (ML)
Artificial Intelligence
Web Development
Computer Vision