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yoodle usecase
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The Guardian AIngel is a computer vision based fall detection system for the elderly.
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You will be provided a Rasberry Pi zero device with a built-in camera and a 16 GB SD card with Raspbian already installed.
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You are required to develop a computer vision model and deploy the model to run on the Rasberry Pi device.
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The model should be able to read the input video stream through the Raspberry Pi Camera Module v2 and detect humans in a fallen position.
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When an event is detected, the system should alert a caregiver via email.You can use any data set for your training.
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The sensitivity of the detections should be at least 0.7.
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Report the specificity as well.
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The model will have to run on the device.
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A little web server will need to be running on the device that can be accessed through a browser and the page will display all current events and whether they were diagnosed by the model as true positive or false positive.
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For the purposes of this project, you do not need to consider occlusions.
Use Cases
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1-HR-SleepPatternAnalysis: Sleep Pattern Analysis
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2-HR-RequestLogAnalysis: Request Log Analysis
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3-HR-DealsWebsite: Deals Website
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4-HR-CommunityConnect: CommunityConnect
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5-VI-TradeIn: TradeIn
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6-IB-UpdateClusterTool: Cluster Update Tool
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7-HO-AdministratorReport: Administrator Report
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8-SE-MultiPost: MultiPost
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9-DS-OpoidOverdose: Opoid Overdose
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10-YO-GuardianAlngel: Guardian Alngel
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11-YO-Gun&KnifeDetector: Gun and Knife Detector
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12-UM-SmartGardenML: Smart Garden using Machine Learning
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13-UM-SmartGardenAR: Smart Garden using Augmented Reality
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14-UM-SmartGardenMITScratch: Smart Garden using MIT Scratch
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15-UM-ChatBot: Group the related TED talks
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16-UM-BitCoinPrediction: BitCoin Predication
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17-UM-RedditHotTopics: BitCoin Predication
Winners
Mehta Avni,[email protected]
Muppala Trinadha,[email protected]
Thomson Erich [email protected]
Charles, Paul [email protected]
Sayed Khushal Shah, [email protected]
Sidrah Junaid, [email protected]
Zeenat Tariq, [email protected]
Syed Jawad Shah, [email protected]
Shalin, [email protected]
Khushbu Kolhe, [email protected]
Geo, [email protected]
Ruthvic [email protected]
sneha [email protected]
swati [email protected]
cameron [email protected]