HackStack

Project Info

Winner

Best Use of Zepp Health

Clock In

Devpost

Inspiration

Smart watches have centered around the health of their users for over a decade. Fitness apps have provided the ability to track calorie burning and heart rate for athletes, and those pursuing the ideal physique. At the other end of the spectrum, medical apps provide the ability for diabetes patients and the elderly to track and detect concerning medical phenomena. However, both these use cases miss the major demographic between them: middle class and blue collar workers. For construction workers, contractors, farmers, and millions of other manual laborers, the extreme highs and lows of biological tracking are not necessary, yet these apps are incapable of keeping them safe and healthy in their physically demanding workplaces. Clock In provides an answer.

What it does

The moment a worker "Clocks In" at the start of their day, they can open our app on their watch to start tracking them. Clock In tracks several health and safety risk factors throughout the work day, and detects any major hazards or accidents that could affect the user. It tracks personal factors, such as heart rate, blood oxygen level, physical trauma via an accelerometer, atrial fibrillation, and arrhythmia. It also tracks environmental factors, such as temperature and humidity. Typically, Clock In will invalidate and delete this data after a few hours, but the moment that a workplace hazard or accident strikes, Clock In takes a snapshot of the user's working conditions at the time of the incident and in the hours leading up to it. In this way, Clock In acts like a dash cam for the body, freezing the data surrounding an incident for later investigation. Clock In provides workers with the ability to record unsafe or inhumane working conditions, providing numerical, indisputable evidence in the case of mistreatment by their employer. In the case of a severe accident, this data can provide valuable proof of mistreatment by an employer, assisting the worker's case.

How we built it

Using Zepp's OS and the vast array of sensors on the Amazfit Smart-Watch, we monitor and protect against 3 kinds of trigger events. immediate triggers High-speed impact Loud Noise Self-Recorded Emergency short term triggers Abnormal Heart Rate Low VO2 max long term triggers Unsafe temperatures Unsafe altitudes

Challenges we ran into

Use of an unfamiliar API with mixed documentation and a foreign framework. Luckily, the Zepp dev team gave us 24-hour support, constantly helping with documentation and hardware issues.

Accomplishments we're proud of

Our technology will improve safety accountability in the workplace by ensuring all sides are held accountable for workplace mishaps. We are proud of the high-speed impact detection. A user can unnaturally jerk their arm and the watch immediately responds. We are also proud of our ability complete a project despite arriving late to the hackathon and having other obligations during the event.

What's next

Workplace injuries no more Suppose an employee was injured. There is little certainty that their medical bills will be We hope to implement preventative measures to stop workplace injuries before they happen. By notifying workers when they are susceptible to stroke, drowsiness, and immune system failure we can prevent a hospital visit that is both expensive to the employee and the employer. In the future, we hope to add more trackable factors to our product, such as air quality and elevation.

Analysis

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Technology

Found in codeClaimed only
  • JavaScriptIn code
  • TypeScriptIn code

2 of 2 appear in the indexed code.

AI coding agents

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Codebase size

Source size

15 KB

Source files

11

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

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