About this app
Street Sentinel is a NSF-funded project that uses off-the-shelf hardware and custom deep learning algorithms to recognize gunshots in real-time, including where and when they occur. Community intervention workers control the placement of detectors in the community and use a smartphone-based alert system, developed by the research team, to support their violence prevention efforts. Current evidence suggests that community intervention workers can stop violent retaliations if they are able to respond quickly when violence occurs. This mobile app therefore allows the research team uses controlled experiments and causal inference methods to assess the impact of the gunshot detection network on community-led violence prevention.
Latest release
What’s New
This version includes the following bug fixes and enhancements: = The date in the incident list was formatted incorrectly. = All personnel (e.g., managers and non-managers assigned to a device) receive notification of a gunshot detection.
Audience growth
Ratings growth
Baseline captured. Growth appears after the crawler observes a changed rating count.
Momentum comes from crawler snapshots for the tracked storefront. “Viral growth signal” means unusually fast recent rating gains; it is an indicator, not download data.
Price tracking
Price intelligence
First snapshot captured. The trend line starts after the next crawler price observation.
- First observed Aug 24, 2026 · 8:52 AM Free
Screenshots
