About
Who we are
You may have never been in an accident, but you probably know someone who has. Unfortunately, current emergency response solutions are not equipped to deal with the number of emergency cases in a given day.
- Very few of them manage to respond within the "golden time" of 30 minutes, leading to major complications or even death.
- But don't worry. We've got a solution: Livve App.
- An emergency management platform that streamlines the emergency response process.
By eliminating the control room, we automate the entire emergency response from help request, to relevant victim retrieval, to live case updates, cutting a nearly 40 minute process to just under 20.
Learn MoreLivve Ecosystem Workflow
Victim requests help. Request is sent to nearby hospitals, police and emergency contacts containing navigation to user’s location & hospital list & police station info is rendered with single click dial.
- If partner hospital/police accepts request, then relevant victim info (ex. medical history) is sent to hospital/police for early processing.
- Live videocall with emergency vehicle begins, and optimal routes generated to and from victim.
- Victim status, and route from vehicle to victim is regularly updated on both victim and emergency vehicle's screens. This is also visible to the hospital/police station monitoring the case.
All activity, including video is recorded for proof.
Live HD video call for victim and provider
Live video between victim and emergency supporter for professional assistance over internet
Anomaly Detection machine learning model detects emotions, objects, current situation from video
- How 5G empowers our video conferencing?
- Empowers us to improve reaction times & quality(1080p) of video-conference.
- Allows to take in huge amounts of data from live video stream making its analysis & output time lightning fast and accurate.
- With 5G's data throughput (>10 Gbps) we can detect faces, emotions, age, sex from video, regardless of pose, lighting, etc.
Relishing 5G which meets the demand of 10 GBPS speed we accelerate the transferring and saving of vast real-time data under huge loads.
1080p video stream, user records, status section and dashboard credentials are updated in real time.
- Stored Victim Information, including age, medical history, contacts are rendered to hospital and EMRV.
- Map data is used to calculate and render optimal route from Hospital/Police station to victim & Update the real-time route of emergency vehiclea &user location.
- User shown nearest hospitals/police stations, based on the time it would take for hospitals to reach victim with single click dial.
Trail auditing is done & all case activity, including video, recorded for post-case proceedings.
Victim status, and route from vehicle to victim is regularly updated on both victim and emergency vehicle's screens. This is also visible to the hospital/police station monitoring the case.
Map component uses real time data to :
- Calculate and show optimal route from Hospital/Police station to victim.
- Update the real-time route of emergency vehicle
- Continuously updates User and Emergency Vehicle location.
User status (stable, unstable, conscious), EMT status (waiting, en route) & Distance and Time to victim automatically calculated and updated live.
Learn More
We've built a series of videos about our product, testing and demo process. Check them out for a full overview of the Livve Platform.
Services
What we do offer
Fast Response
Optimal routing and nearest hospital algorithm allows responses within the Golden Time
Flexible Response
Live video, route, and user/vehicle status allow emergency responders to adjust their response on the fly
Digitization
Environmental and situational analysis with machine learning. Powered by user and proprietary data.
Accountability
Efficient routing and live video feed prevents mishandling or delayed response by police/EMT
Accomplishments
What we've done
ON-FIELD TESTING
The On-Field Testing of Livve was done on 9th July 2021 in collaboration with Dr. Akhilesh Das Gupta Institute of Technology & Management (BBD group) under the supervision of Prof.(Dr) Sanjay Kumar, Director, ADGITM and Dr. Anupam Kumar Sharma, Head of Department, Computer Science, ADGITM. Testing was done by creating the same scenario as that in a Medical/Police emergency case in Delhi.
Conclusions drawn from the testing :
1. Reduction of Current Indian Emergency average response and connectivity time from 11 minutes 30 seconds to 11 seconds.
2. Removal of sub optimal response times of calls and calls not being answered due to overload of responders in control room reducing it to as low as 3 seconds.
3. Provision of accurate real time data with less than a 1% delay.
4. Provision of medical history and user status supports in-ambulance treatment and enables early preparation by hospital.
5. Provision of Quality Video and Machine Learning facilitates case scenario response and also improves early preparation by hospital.
Testimonials
What they are saying about us
I feel the whole idea behind this innovation is very well thought about & We'll look forward to implementing this program for our hospital in near future.
Dr. G.L. Sharma
MD, DM, DNB, FICPS, FAPSIC DIRECTOR, JAIPUR HEART INSTITUTE JAIPUR
The features i see in this app can help medical personnel detect serious cases, their type and if they demand surgeries and allows hospital to prepare early hand.
Dr. Abhimanyu Uppal
MBBS, MD, DM Cardiology JAIPUR HEART INSTITUTE JAIPUR
I particularly like the feature where doctors can assess the severity of the patient's condition through video conferencing while paramedics attend the patient in ambulance.
Dr. Shefalika Sharma
MBBS Delhi
The architecture looks to be a promising approach towards solving the problem statement. This app will empower emergency services to act expeditiously.
Prof. (Dr) Sanjay Kumar
Director, Dr. Akhilesh Das Gupta Institute Of Technology & Management
This ecosystem shows the power to save time at each step.i like the usage of machine learning models withlive video stream for user identification and analysis.
Rajat Singla
SDE, Microsoft
Team
Our Team
Tushar Marwaha
Co-founder
Sung Jae Bae
Co-founder
MD mobin
DeveloperPower
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Contact
Contact Us
Location:
6029 Arbor Hills Way. The Colony, TX. 75056
Email:
safeappmail@gmail.com
Call:
+1 (949) 536-4162