Honeywell International Inc.

Abhisekh Jain

Lalitha M Eswara

Ismaiel Shaik

Balamurugan Ganesan

Bhavya Hanumegowda

Jeremy Kimber

Harika Sarvani Kattamuru

Anagha Moosad

Jitendra Sitaram Chaurasia

Mourian Balasubramanian

Sivasanthanam Dhayalan

Vijay Dhamija

Jeslin Paul Joseph

Manu Thomas

Kingslin Joseph

Dinesh Babu Rajamanickam

Sunil Madhusuthanan

Siddharth Sonkamble

Ganeshkumar Selvaraj

A security camera includes an image capture sensor and one or more motors for achieving a pan and/or tilt operation of the image capture sensor. A gyroscope sensor senses angular speed of the image capture sensor. A memory stores calibration data that includes an indication of the angular speed of the image capture sensor sensed by the gyroscope sensor while performing a pan and/or tilt operation of the image capture sensor. A controller is configured to subsequently compare the angular speed of the image capture sensor while performing a pan and/or tilt operation of the image capture sensor with the calibration data to identify a drift in the angular speed of the image capture sensor while performing a pan and/or tilt operation of the image capture sensor over time. The controller is configured to compensate for the drift during subsequent pan and/or tilt operations.

Security camera with self-calibration of pan and/or tilt operations

A video camera includes a camera for capturing a video stream and a controller that is operably coupled to the camera. The controller, which includes processing resources, is configured to determine a current utilization of one or more of the processing resources and to determine which of a plurality of video analytics algorithms should be executed based at least in part on the determined current utilization of the one or more processing resources. The controller is configured to execute two or more of the plurality of video analytics algorithms on the video stream to identify one or more events in the video stream, wherein the controller executes the two or more of the plurality of video analytics algorithms, and sends an alert in response to identifying one or more events in the video stream.

Video camera for locally executing a plurality of video analytic algorithms on a video stream captured by the video camera

Methods and systems for location tracking or maintaining a count of people in a building or space. An illustrative method may include storing a background image of a field of view of a video camera and receiving a video stream from the video camera. Background subtraction may be performed to identify one or more blobs in the field of view of the video camera. The size of the one or more blobs may be compared to an expected size of the blob at a similar distance from the camera. When the size of the blob is greater than the expected size of a person at the determined distance of the corresponding blob by more than a predetermined threshold the blob may be counted as two or more people.

Methods and systems for reducing a risk of spread of disease among people in a space

A surveillance monitoring system may use a camera to detect any viewing faces visible within viewing sight of a monitor and determine whether the detected viewing faces belong to authorized individuals who are authorized to view video surveillance footage on the monitor or if any of the detected viewing faces belong to individuals who are not authorized to view video surveillance footage on the monitor. When the detected viewing faces belong only to authorized individuals, the surveillance monitoring system continues to display the video surveillance footage that includes identifiable faces without anonymizing the identifiable faces. When the detected viewing faces also include unauthorized individuals, the surveillance monitoring system may continue to display the video surveillance footage, but the surveillance monitoring system may automatically anonymize one or more of the identifiable faces seen in the video surveillance footage.

Video monitoring system with privacy features

Methods and systems for monitoring occupant health within a building. An illustrative method may include storing one or more illness behavioral models, capturing and storing over time a history of behaviors for each of a plurality of occupants of the building, identifying one or more current behaviors of a particular one of the plurality of occupants, determining whether the current behaviors of the occupant match one or more of the behaviors defined in the one or more illness behavioral models, determining whether the current behaviors of the occupant deviate from behaviors captured and stored in the history of behaviors for the occupant, and issuing an alert directing that the occupant undergo additional health screening when the current behaviors of the occupant match one or more of the behaviors defined in the illness behavioral models or deviate from behaviors captured and stored in the history of behaviors for the occupant.

Occupant health monitoring for buildings

A video management system may identify moving objects in a scene, and may obscure the moving object. Additionally, the video management system may identify parts of the scene that are not moving, and may identify pixels having a color falling within a range which may be associated with human skin, and may obscure such pixels. The video management system may present an image to a monitor including the obscured moving object and the obscured pixels having the color falling within the range associated with human skin.

System and method for anonymizing content to protect privacy

Growing community of inventors

Madurai, India

Abhisekh Jain