Granted Patent
B1
US 12,438,947 · App. 18/408,292 · Granted Oct 7, 2025
Event detection system
Inventors:
Saleh ElHattab (San Francisco, CA); Justin Joel Delegard (West Chester, OH); Bodecker John DellaMaria (San Francisco, CA); Brian Tuan (Cupertino, CA); Jennifer Winnie Leung (Berkeley, CA); Sylvie Lee (Pittsburgh, PA); Jesse Michael Chen (San Francisco, CA); Sean Kyungmok Bae (San Francisco, CA); Angel Manalastas Lim (Chino Hills, CA); Timothy John Passaro (Vancouver, WA)
Assignee:
Samsara Inc.
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Abstract
Example embodiments described herein therefore relate to an event detection system that comprises a plurality of sensor devices, to perform operations that include: generating sensor data at the plurality of sensor devices; accessing the sensor data generated by the plurality of sensor devices; detecting an event, or precursor to an event, based on the sensor data, wherein the detected event corresponds to an event category; accessing an object model associated with the event type in response to detecting the event, wherein the object model defines a procedure to be applied by the event detection system to the sensor data; and streaming at least a portion of a plurality of data streams generated by the plurality of sensor devices to a server system based on the procedure, wherein the server system may perform further analysis or visualization based on the portion of the plurality of data streams.
Claims (37)
1. A system comprising:
at least one sensor device mounted at a vehicle to generate sensor data;
a memory; and
one or more processors configured to perform operations comprising:
applying a machine learned model to video data generated by the sensor device;
detecting a feature within the video data based on the machine learned model, the feature indicating an expected behavior of a driver of the vehicle and corresponding to an event type and a timestamp, the event type including a deviation action of the driver related to a traffic proceeding;
accessing a procedure associated with the event type, the procedure including an identification of a client device based on the event type; and
presenting a notification at the client device based on the procedure, the notification including a display of at least a portion of the video data that includes a scrub bar that comprises an event indicator that corresponds with the event type at a position along the scrub bar based on the timestamp indicating an occurrence of the deviation action from the expected behavior of the driver of the vehicle.
2. The system of claim 1 , wherein the notification includes the event indicator and an identifier associated with the vehicle.
3. The system of claim 1 , wherein the presenting notification that includes the event indicator further comprises:
causing display of a graphical user interface that includes a presentation of a map image that includes the event indicator.
4. The system of claim 1 , wherein the feature corresponds with a display of an object within the video data.
5. The system of claim 1 , wherein the sensor device includes a dash cam.
6. The system of claim 1 , wherein the event type corresponds with a procedure that identifies at least the client device; and
identifying the client device based on the procedure.
7. A method comprising:
applying a machine learned model to video data generated by the sensor device;
detecting a feature within the video data based on the machine learned model, the feature indicating an expected behavior of a driver of the vehicle and corresponding to an event type and a timestamp, the event type including a deviation action of the driver related to a traffic proceeding;
accessing a procedure associated with the event type, the procedure including an identification of a client device based on the event type; and
presenting a notification at the client device based on the procedure, the notification including a display of at least a portion of the video data that includes a scrub bar that comprises an event indicator that corresponds with the event type at a position along the scrub bar based on the timestamp indicating an occurrence of the deviation action from the expected behavior of the driver of the vehicle.
8. The method of claim 7 , wherein the notification includes the event indicator and an identifier associated with the sensor device.
9. The method of claim 7 , wherein the presenting notification that includes the event indicator further comprises:
causing display of a graphical user interface that includes a presentation of a map image that includes the event indicator.
10. The method of claim 7 , wherein the feature corresponds with a display of an object within the video data.
11. The method of claim 7 , wherein the sensor device includes a dash cam.
12. The method of claim 7 , wherein the event type corresponds with a procedure that identifies at least the client device; and
identifying the client device based on the procedure.
13. A non-transitory machine-readable storage medium, comprising instructions that when executed by one or more processors of a machine, cause the machine to perform operations comprising:
applying a machine learned model to video data generated by the sensor device;
detecting a feature within the video data based on the machine learned model, the feature indicating an expected behavior of a driver of the vehicle and corresponding to an event type and a timestamp, the event type including a deviation action of the driver related to a traffic proceeding;
accessing a procedure associated with the event type, the procedure including an identification of a client device based on the event type; and
presenting a notification at the client device based on the procedure, the notification including a display of at least a portion of the video data that includes a scrub bar that comprises an event indicator that corresponds with the event type at a position along the scrub bar based on the timestamp indicating an occurrence of the deviation action from the expected behavior of the driver of the vehicle.
14. The non-transitory machine-readable storage medium of claim 13 , wherein the notification includes the event indicator and an identifier associated with the sensor device.
15. The non-transitory machine-readable storage medium of claim 13 , wherein the presenting notification that includes the event indicator further comprises:
causing display of a graphical user interface that includes a presentation of a map image that includes the event indicator.
16. The non-transitory machine-readable storage medium of claim 13 , wherein the feature corresponds with a display of an object within the video data.
17. The non-transitory machine-readable storage medium of claim 13 , wherein the sensor device includes a dash cam.
Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST
Recorded Jan 17, 2024
From: ELHATTAB, SALEH; DELEGARD, JUSTIN JOEL; DELLAMARIA, BODECKER JOHN; TUAN, BRIAN; LEUNG, JENNIFER WINNIE; LEE, SYLVIE; CHEN, JESSE MICHAEL; BAE, SEAN KYUNGMOK; LIM, ANGEL MANALASTAS; PASSARO, TIMOTHY JOHN
To: SAMSARA NETWORKS INC.
Reel/Frame 066150/0570 →
CHANGE OF NAME
Recorded Jan 17, 2024
From: SAMSARA NETWORKS INC.
To: SAMSARA INC.
Reel/Frame 066150/0720 →
Continuity (3)
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