Buffalo Automation Group, Inc.

United States of America

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2021 2
2020 8
Before 2020 4
IPC Class
G05D 1/02 - Control of position or course in two dimensions 4
G01S 17/89 - Lidar systems, specially adapted for specific applications for mapping or imaging 3
G06K 9/62 - Methods or arrangements for recognition using electronic means 3
G01S 13/86 - Combinations of radar systems with non-radar systems, e.g. sonar, direction finder 2
G05D 1/00 - Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots 2
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1.

SUPPORT STRUCTURE MOUNTING SENSING DEVICES FOR SENSING PORT OPERATIONS

      
Application Number US2020045991
Publication Number 2021/030477
Status In Force
Filing Date 2020-08-12
Publication Date 2021-02-18
Owner BUFFALO AUTOMATION GROUP, INC. (USA)
Inventor
  • Suresh, Thiru Vikram
  • Khakharia, Mohit Arvind
  • Chang Lee, Miguel Ojielong
  • Huang, Brian
  • Mcdonough, Trevor
  • Edwards, Chris X.

Abstract

A support structure includes a mounting pole and a mounting frame supported by the mounting pole. The mounting frame includes a vertical base and a horizontal arm projecting away from the vertical base in a first direction. The support structure further includes a first and second camera mount coupled to the vertical base, and a LIDAR mount and a radar mount coupled to the horizontal arm. An omnidirectional camera is coupled to the first camera mount and extends a first distance away from the mounting frame in a first direction that is perpendicular to the vertical base of the mounting frame. A thermal camera is coupled to the second camera mount and oriented in the first direction. A LIDAR unit is coupled to the LIDAR mount, and a radar unit is coupled to the radar mount.

IPC Classes  ?

  • G01S 13/86 - Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
  • G01S 17/87 - Combinations of systems using electromagnetic waves other than radio waves
  • G01S 17/86 - Combinations of lidar systems with systems other than lidar, radar or sonar, e.g. with direction finders
  • G01S 7/00 - Details of systems according to groups , ,

2.

Deep learning and intelligent sensing systems for port operations

      
Application Number 16991905
Grant Number 10895802
Status In Force
Filing Date 2020-08-12
First Publication Date 2021-01-19
Grant Date 2021-01-19
Owner Buffalo Automation Group, Inc. (USA)
Inventor
  • Suresh, Thiru Vikram
  • Khakharia, Mohit Arvind
  • Chang Lee, Miguel Ojielong
  • Huang, Brian
  • Mcdonough, Trevor
  • Edwards, Chris X

Abstract

A support structure includes a mounting pole and a mounting frame supported by the mounting pole. The mounting frame includes a vertical base and a horizontal arm projecting away from the vertical base in a first direction. The support structure further includes a first and second camera mount coupled to the vertical base, and a LIDAR mount and a radar mount coupled to the horizontal arm. An omnidirectional camera is coupled to the first camera mount and extends a first distance away from the mounting frame in a first direction that is perpendicular to the vertical base of the mounting frame. A thermal camera is coupled to the second camera mount and oriented in the first direction. A LIDAR unit is coupled to the LIDAR mount, and a radar unit is coupled to the radar mount.

IPC Classes  ?

  • G03B 17/56 - Accessories
  • G01S 7/02 - Details of systems according to groups , , of systems according to group
  • G01S 13/86 - Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
  • H04N 5/232 - Devices for controlling television cameras, e.g. remote control
  • H04N 5/33 - Transforming infrared radiation
  • G01S 17/89 - Lidar systems, specially adapted for specific applications for mapping or imaging
  • G01S 13/00 - Systems using the reflection or reradiation of radio waves, e.g. radar systemsAnalogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
  • G01S 17/00 - Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems

3.

SENSOR SYSTEM FOR MARITIME VESSELS

      
Application Number US2019046206
Publication Number 2020/076412
Status In Force
Filing Date 2019-08-12
Publication Date 2020-04-16
Owner BUFFALO AUTOMATION GROUP INC. (USA)
Inventor
  • Suresh, Thiru, Vikram
  • Zhitelzeyf, Alexander
  • Khakharia, Mohit, Arvind
  • Chang Lee, Miguel, Ojielong
  • Kilian, Troy
  • Huang, Brian
  • Mcdonough, Trevor

Abstract

The present disclosure provides a sensor system and method of operating the same. The sensor system includes a data collection mast including a base, a support member, a main member, a top plate, a first enclosure, a second enclosure, a first cantilever member, and a second cantilever member. The sensor system further includes a pair of stereoscopic cameras disposed on the main member extending through the second enclosure, a radar system disposed on the top plate, a compass disposed on the second cantilever member, a LIDAR unit disposed on the first cantilever member, and a control unit disposed on the main member within the first enclosure. Each of the pair of stereoscopic cameras, radar system, compass, and LIDAR unit are in electronic communication with the control unit, such that control unit receive the data collected from each sensor.

IPC Classes  ?

  • B63B 49/00 - Arrangements of nautical instruments or navigational aids
  • G01C 17/00 - CompassesDevices for ascertaining true or magnetic north for navigation or surveying purposes
  • G01C 21/20 - Instruments for performing navigational calculations
  • G01S 13/93 - Radar or analogous systems, specially adapted for specific applications for anti-collision purposes

4.

Optical encoder systems and methods

      
Application Number 16555314
Grant Number 10778241
Status In Force
Filing Date 2019-08-29
First Publication Date 2020-03-05
Grant Date 2020-09-15
Owner Buffalo Automation Group Inc. (USA)
Inventor Mcdonough, Trevor R.

Abstract

The present disclosure may be embodied as an optical encoder system comprising a first optical sensor, a second optical sensor, a first up-down counter, a second up-down counter, and an I/O expander. The optical encoder system may further include a buffer. The present disclosure may also be embodied as an optical encoder system comprising an optical encoder, and a monostable multivibrator. The present disclosure may also be embodied as a method for encoding optical data comprising generating a first optical sensor signal and a second optical sensor signal, converting the first optical sensor signal and second optical sensor signal into four first counter signals, generating a borrow output signal and a carry output signal, converting the borrow output signal and the carry output signal into four second counter signals, and converting the first counter signals and second counter signals into a serial data signal and a serial clock signal.

IPC Classes  ?

  • H03M 1/10 - Calibration or testing
  • H03M 1/30 - Analogue/digital converters pattern-reading type using relatively movable reader and disc or strip with non-weighted coding incremental
  • G01D 5/347 - Mechanical means for transferring the output of a sensing memberMeans for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for convertingTransducers not specially adapted for a specific variable using optical means, i.e. using infrared, visible or ultraviolet light with attenuation or whole or partial obturation of beams of light the beams of light being detected by photocells using displacement encoding scales

5.

LANE AND OBJECT DETECTION SYSTEMS AND METHODS

      
Application Number US2019048885
Publication Number 2020/047302
Status In Force
Filing Date 2019-08-29
Publication Date 2020-03-05
Owner BUFFALO AUTOMATION GROUP INC. (USA)
Inventor
  • Khakharia, Mohit, Arvind
  • Suresh, Thiru, Vikram
  • Mcdonough, Trevor, R.
  • Chang Lee, Miguel, Ojielong

Abstract

Embodiments disclosed herein include systems and methods for lane and object detection. A system may comprise a plurality of cameras and a processor in electronic communication with the cameras. The cameras may be disposed on a vehicle. The cameras may be configured to collect one or more images. The cameras may be configured to generate an image data feed using the one or more images. A method may comprise collecting one or more images; generating, from the one or more images, an image data feed; receiving, at a processor, the image data feed; and performing lane detection and object detection, and may employ a deep learning network.

IPC Classes  ?

  • B60W 50/14 - Means for informing the driver, warning the driver or prompting a driver intervention
  • G06K 9/66 - Methods or arrangements for recognition using electronic means using simultaneous comparisons or correlations of the image signals with a plurality of references, e.g. resistor matrix references adjustable by an adaptive method, e.g. learning

6.

OPTICAL ENCODER SYSTEMS AND METHODS

      
Application Number US2019048875
Publication Number 2020/047297
Status In Force
Filing Date 2019-08-29
Publication Date 2020-03-05
Owner BUFFALO AUTOMATION GROUP INC. (USA)
Inventor Mcdonough, Trevor, R.

Abstract

The present disclosure may be embodied as an optical encoder system comprising a first optical sensor, a second optical sensor, a first up-down counter, a second up-down counter, and an I/O expander. The optical encoder system may further include a buffer. The present disclosure may also be embodied as an optical encoder system comprising an optical encoder, and a monostable multivibrator. The present disclosure may also be embodied as a method for encoding optical data comprising generating a first optical sensor signal and a second optical sensor signal, converting the first optical sensor signal and second optical sensor signal into four first counter signals, generating a borrow output signal and a carry output signal, converting the borrow output signal and the carry output signal into four second counter signals, and converting the first counter signals and second counter signals into a serial data signal and a serial clock signal.

IPC Classes  ?

  • G01D 5/26 - Mechanical means for transferring the output of a sensing memberMeans for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for convertingTransducers not specially adapted for a specific variable using optical means, i.e. using infrared, visible or ultraviolet light
  • G01D 5/58 - Mechanical means for transferring the output of a sensing memberMeans for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for convertingTransducers not specially adapted for a specific variable using means specified in two or more of groups , , , , and using optical means, i.e. using infrared, visible or ultraviolet light
  • G06F 13/00 - Interconnection of, or transfer of information or other signals between, memories, input/output devices or central processing units
  • G06F 13/38 - Information transfer, e.g. on bus
  • H03M 9/00 - Parallel/series conversion or vice versa

7.

Deep learning and intelligent sensing system integration

      
Application Number 16537172
Grant Number 10782691
Status In Force
Filing Date 2019-08-09
First Publication Date 2020-02-13
Grant Date 2020-09-22
Owner Buffalo Automation Group Inc. (USA)
Inventor
  • Suresh, Thiru Vikram
  • Khakharia, Mohit Arvind

Abstract

Disclosed herein are systems, methods, and apparatuses for deep learning and intelligent sensing system integrations. A processor may be configured to receive a plurality of images from the sensor system, identify objects in the images in an offline mode, classify the objects in the images in the offline mode, generate heat maps in the offline mode, and send instructions regarding operation of the maritime vessel based on the objects that are identified. The visual sensor may be a stereoscopic camera. The processor may be further configured to perform stereoscopy. The instructions may include a speed or a heading of, for example, a maritime vessel.

IPC Classes  ?

  • G05D 1/02 - Control of position or course in two dimensions
  • G06T 7/593 - Depth or shape recovery from multiple images from stereo images
  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • H04N 13/239 - Image signal generators using stereoscopic image cameras using two 2D image sensors having a relative position equal to or related to the interocular distance

8.

DEEP LEARNING AND INTELLIGENT SENSING SYSTEM INTEGRATION

      
Application Number US2019046207
Publication Number 2020/033966
Status In Force
Filing Date 2019-08-12
Publication Date 2020-02-13
Owner BUFFALO AUTOMATION GROUP INC. (USA)
Inventor
  • Suresh, Thiru Vikram
  • Khakharia, Mohit Arvind

Abstract

Disclosed herein are systems, methods, and apparatuses for deep learning and intelligent sensing system integrations. A processor may be configured to receive a plurality of images from the sensor system, identify objects in the images in an offline mode, classify the objects in the images in the offline mode, generate heat maps in the offline mode, and send instructions regarding operation of the maritime vessel based on the objects that are identified. The visual sensor may be a stereoscopic camera. The processor may be further configured to perform stereoscopy. The instructions may include a speed or a heading of, for example, a maritime vessel.

IPC Classes  ?

  • G05D 1/02 - Control of position or course in two dimensions
  • G01S 17/89 - Lidar systems, specially adapted for specific applications for mapping or imaging
  • G05D 1/00 - Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
  • G06K 9/62 - Methods or arrangements for recognition using electronic means

9.

TRAINING A DEEP LEARNING SYSTEM FOR MARITIME APPLICATIONS

      
Application Number US2019046208
Publication Number 2020/033967
Status In Force
Filing Date 2019-08-12
Publication Date 2020-02-13
Owner BUFFALO AUTOMATION GROUP INC. (USA)
Inventor
  • Suresh, Thiru, Vikram
  • Khakharia, Mohit, Arvind

Abstract

An object detection network can be trained with training images to identify and classify objects in images from a sensor system disposed on a maritime vessel. The objects in the images can be identified, classified, and heat maps can be generated. Instructions can be sent regarding operation of the maritime vessel. For some training images, water conditions, sky conditions, and/or light conditions in the image can be changed to generate a second image.

IPC Classes  ?

  • G05D 1/02 - Control of position or course in two dimensions
  • G01S 17/89 - Lidar systems, specially adapted for specific applications for mapping or imaging
  • G05D 1/00 - Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
  • G06K 9/62 - Methods or arrangements for recognition using electronic means

10.

Training a deep learning system for maritime applications

      
Application Number 16537706
Grant Number 10936907
Status In Force
Filing Date 2019-08-12
First Publication Date 2020-02-13
Grant Date 2021-03-02
Owner Buffalo Automation Group Inc. (USA)
Inventor
  • Suresh, Thiru Vikram
  • Khakharia, Mohit Arvind

Abstract

An object detection network can be trained with training images to identify and classify objects in images from a sensor system disposed on a maritime vessel. The objects in the images can be identified, classified, and heat maps can be generated. Instructions can be sent regarding operation of the maritime vessel. For some training images, water conditions, sky conditions, and/or light conditions in the image can be changed to generate a second image.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G06T 7/194 - SegmentationEdge detection involving foreground-background segmentation
  • G06T 7/50 - Depth or shape recovery
  • G06T 11/40 - Filling a planar surface by adding surface attributes, e.g. colour or texture
  • G05D 1/02 - Control of position or course in two dimensions
  • G06N 3/04 - Architecture, e.g. interconnection topology
  • G06N 3/08 - Learning methods

11.

BUFFALO AUTOMATION

      
Application Number 018022349
Status Registered
Filing Date 2019-02-13
Registration Date 2019-06-27
Owner Buffalo Automation Group, Inc. (USA)
NICE Classes  ? 09 - Scientific and electric apparatus and instruments

Goods & Services

Optical sensor systems; sensors and detection units for use in controlling operation of nautical navigation apparatus and equipment; nautical navigation systems using artificial intelligence; navigation software for maritime vessels; sensors and detection units for use in controlling operation of navigation apparatus and equipment; navigation software for vehicles; navigation systems using artificial intelligence.

12.

RAVEN

      
Application Number 018022354
Status Registered
Filing Date 2019-02-13
Registration Date 2019-06-27
Owner Buffalo Automation Group, Inc. (USA)
NICE Classes  ? 09 - Scientific and electric apparatus and instruments

Goods & Services

Optical sensor systems comprised of optical sensors, optical receivers, optical signaling cables, radar apparatus, ultrasonic sensors, global positioning system (GPS), satellite directional compasses, and inertial measurement units comprised of gyroscopes, magnetometers, and accelerometers for measuring a vehicle's specific force, angular rate, and surrounding magnetic field; sensors and detection units for use in controlling operation of vehicle navigation apparatus and equipment; satellite-aided navigation systems using artificial intelligence for navigation path calculation, navigation equipment control, collision avoidance, and fuel saving; navigation software for vehicles for navigation path calculation, navigation equipment control, collision avoidance, and fuel saving; all of the foregoing for use in connection with industrial transport vehicles, namely, semitractor trailers and tractor-trailers for the transport of non-agricultural goods in nonagricultural markets.

13.

BUFFALO AUTOMATION

      
Serial Number 88095627
Status Registered
Filing Date 2018-08-28
Registration Date 2021-08-10
Owner BUFFALO AUTOMATION GROUP, INC. ()
NICE Classes  ? 09 - Scientific and electric apparatus and instruments

Goods & Services

Optical sensor systems comprised of optical sensors, optical receivers, optical signaling cables, radar apparatus, ultrasonic sensors, global positioning system (GPS), satellite directional compasses, anemometers, automatic identification system (AIS) in the nature of a GPS tracking device for marine vessels, and inertial measurement units comprised of gyroscopes, magnetometers, and accelerometers for measuring a vehicle's specific force, angular rate, and surrounding magnetic field; sensors and detection units for use in controlling operation of nautical navigation apparatus and equipment; satellite-aided nautical navigation systems using artificial intelligence for navigation path calculation, navigation equipment control, collision avoidance, and fuel saving; navigation software for maritime vessels for navigation path calculation, navigation equipment control, collision avoidance, and fuel saving; sensors and detection units for use in controlling operation of navigation apparatus and equipment; navigation software for vehicles for navigation path calculation, navigation equipment control, collision avoidance, and fuel saving; satellite-aided navigation systems using artificial intelligence for navigation path calculation, navigation equipment control, collision avoidance, and fuel saving

14.

RAVEN

      
Serial Number 88095671
Status Registered
Filing Date 2018-08-28
Registration Date 2021-10-12
Owner BUFFALO AUTOMATION GROUP, INC. ()
NICE Classes  ? 09 - Scientific and electric apparatus and instruments

Goods & Services

Optical sensor systems comprised of optical sensors, optical receivers, optical signaling cables, radar apparatus, ultrasonic sensors, global positioning system (GPS), satellite directional compasses, and inertial measurement units comprised of gyroscopes, magnetometers, and accelerometers for measuring a vehicle's specific force, angular rate, and surrounding magnetic field; sensors and detection units for use in controlling operation of vehicle navigation apparatus and equipment; satellite-aided navigation systems using artificial intelligence for navigation path calculation, navigation equipment control, collision avoidance, and fuel saving; navigation software for vehicles for navigation path calculation, navigation equipment control, collision avoidance, and fuel saving; all of the foregoing for use in connection with industrial transport vehicles, namely, semi-tractor trailers and tractor-trailers for the transport of non-agricultural goods in non-agricultural markets