Statements (77)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:healthcare_organization
|
| gptkbp:aimsTo |
public safety
|
| gptkbp:analyzes |
traffic patterns
social media data safety metrics public feedback emergency response data environmental data crime patterns |
| gptkbp:collaboratesWith |
government agencies
local governments academic institutions international organizations private sector |
| gptkbp:developedBy |
gptkb:Baidu
|
| gptkbp:enhances |
public engagement
response times community partnerships community resilience emergency response public trust safety awareness event security public security urban safety |
| gptkbp:focusesOn |
AI technology
|
| https://www.w3.org/2000/01/rdf-schema#label |
Baidu Smart Public Safety
|
| gptkbp:improves |
disaster management
public awareness resource allocation safety standards traffic management safety protocols community safety initiatives inter-agency cooperation safety infrastructure |
| gptkbp:integratesWith |
surveillance systems
|
| gptkbp:offers |
training programs
consulting services data analysis tools mobile applications safety workshops safety assessments safety technology solutions community engagement tools incident reporting tools public training sessions |
| gptkbp:provides |
data visualization tools
predictive analytics real-time data access real-time monitoring data-driven insights risk assessment tools emergency response training emergency alerts facial recognition technology incident management systems |
| gptkbp:reduces |
crime rates
|
| gptkbp:supports |
intelligence sharing
law enforcement safety regulations safety audits safety research community safety initiatives safety campaigns crime prevention programs victim assistance programs |
| gptkbp:utilizes |
big data
cloud computing machine learning IoT devices advanced algorithms automated systems data integration drones location-based services video analytics |