Deprecated: The each() function is deprecated. This message will be suppressed on further calls in /home/zhenxiangba/zhenxiangba.com/public_html/phproxy-improved-master/index.php on line 456
NZ795454B2 - Log scaling system and related methods - Google Patents
[go: Go Back, main page]

NZ795454B2 - Log scaling system and related methods - Google Patents

Log scaling system and related methods Download PDF

Info

Publication number
NZ795454B2
NZ795454B2 NZ795454A NZ79545419A NZ795454B2 NZ 795454 B2 NZ795454 B2 NZ 795454B2 NZ 795454 A NZ795454 A NZ 795454A NZ 79545419 A NZ79545419 A NZ 79545419A NZ 795454 B2 NZ795454 B2 NZ 795454B2
Authority
NZ
New Zealand
Prior art keywords
log
logs
sensors
processor
image
Prior art date
Application number
NZ795454A
Other versions
NZ795454A (en
Inventor
David Stroble
Original Assignee
Datalog Llc
Filing date
Publication date
Application filed by Datalog Llc filed Critical Datalog Llc
Priority claimed from NZ787774A external-priority patent/NZ787774A/en
Publication of NZ795454A publication Critical patent/NZ795454A/en
Publication of NZ795454B2 publication Critical patent/NZ795454B2/en

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
    • G01B11/022—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by means of tv-camera scanning
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/08—Measuring arrangements characterised by the use of optical techniques for measuring diameters
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B5/00—Measuring arrangements characterised by the use of mechanical techniques
    • G01B5/0035—Measuring of dimensions of trees
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S11/00—Systems for determining distance or velocity not using reflection or reradiation
    • G01S11/12—Systems for determining distance or velocity not using reflection or reradiation using electromagnetic waves other than radio waves
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/02—Systems using the reflection of electromagnetic waves other than radio waves
    • G01S17/06—Systems determining position data of a target
    • G01S17/08—Systems determining position data of a target for measuring distance only
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88—Lidar systems specially adapted for specific applications
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88—Lidar systems specially adapted for specific applications
    • G01S17/89—Lidar systems specially adapted for specific applications for mapping or imaging
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/2431—Multiple classes
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Forestry; Mining
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10004—Still image; Photographic image
    • G06T2207/10012—Stereo images
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30248—Vehicle exterior or interior
    • G06T2207/30252—Vehicle exterior; Vicinity of vehicle
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/97—Determining parameters from multiple pictures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/255—Detecting or recognising potential candidate objects based on visual cues, e.g. shapes
    • G—PHYSICS
    • G08—SIGNALLING
    • G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/50—Constructional details
    • H04N23/54—Mounting of pick-up tubes, electronic image sensors, deviation or focusing coils
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/90—Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources

Abstract

automated log scaling system and associated methods are disclosed. In the system and methods, one or more imagers may capture depictions of respective first ends and/or second ends of a plurality of logs, and use the captured depictions to scale the plurality of logs. A diameter value for each end of the log may be determined using the captured depictions. Relative location values for each captured end may be determined and used to form a length of each log. Information captured in the images is used to identify the type of tree or species of tree for each log. At least one of the diameter values may be multiplied by the determined log length, and the resulting product may be compared to values in a log scaling chart to determine a board-feet value for the log. The board-feet value of multiple logs may be used to form a load of logs for distribution.

Claims (17)

WE CLAIM:
1. A log scaling system to scale a plurality of logs that are arranged within a transport trailer, each log within the plurality of logs including a first end and a second end separated by a length of the respective log, the system comprising: a first set of sensors including a first LIDAR sensor that captures LIDAR images and a first 3D stereo sensor that captures 3D stereo images, the first LIDAR sensor capturing a first depth image of the first end of a log in the plurality of logs, and the first stereo sensor capturing a first 3D image of the first end of the log in the plurality of logs, wherein the first depth image provides a first distance between the first set of sensors and the first end of the log in the plurality of logs; a second set of sensors including a second LIDAR sensor that captures LIDAR images and a second 3D stereo sensor that captures 3D stereo images, the second LIDAR sensor capturing a second depth image of the second end of a log in the plurality of logs, and the second stereo sensor capturing a second 3D image of the second end of the log in the plurality of logs, wherein the second depth image provides a second distance between the second set of sensors and the second end of the log in the plurality of logs; wherein a relative distance is determined between relative positions of the first set of sensors and the second set of sensors; a processor-enabled controller that is communicatively coupled to the first set of sensors and the second set of sensors, wherein the processor-enabled controller determines a length of the log using the first distance, the second distance, and the relative distance; wherein the processor-enabled controller further determines a diameter value for the log based upon the first 3D image of the first end of the log in the plurality of logs and the first distance between the first set of sensors and the first end of the log in the plurality of logs; wherein the processor-enabled controller determines, based at least in part upon the diameter value, a product value for the log, the product value being determined using the log length and the diameter value for the log.
2. The log scaling system of claim 1, wherein the first set of sensors and second set of sensors are mounted on motorized slider systems that position the first set of sensors and second set of sensors with respect to the log.
3. The log scaling system of claim 2, wherein the motorized slider systems enable the first set of sensors and second set of sensors to be moved vertically and horizontally around the log.
4. The log scaling system of claim 2, wherein the motorized slider systems incorporate extendable and retractable arms with one or more joints, rotation points, or both.
5. The log scaling system of claim 1, further comprising: a wireless receiver that receives a signal transmitted from a wireless transmitter that is physically coupled to the log, wherein the transmitted signal encodes a first identifier for the wherein the nontransitory processor-readable storage device stores processor- executable instructions which, when executed by the processor, cause the processor to further: store on the nontransitory processor-readable storage device a first data record that includes the first identifier and the determined product value for the log.
6. The log scaling system of claim 1, wherein the nontransitory processor-readable storage device stores processor-executable instructions which, when executed by the processor, cause the processor to further: determine tree-type information related to the log from the first and second 3D images, the tree-type information identifying one out of a plurality of types of trees, wherein determining the product value for the log is further based upon the tree-type information.
7. The log scaling system of claim 1, wherein data from the first 3D image depicting the first end of the log in the plurality of logs and data from the second 3D image depicting the second end of the log in the plurality of logs is used to detect log locations and determine a count of the logs.
8. The log scaling system of claim 1, wherein data from the first 3D image depicting the first end of the log in the plurality of logs and data from the second 3D image depicting the second end of the log in the plurality of logs is used to segment logs and measure the diameters of the logs.
9. The log scaling system of claim 1, wherein data from the first 3D image depicting the first end of the log in the plurality of logs and data from the second 3D image depicting the second end of the log in the plurality of logs is used match two ends of each log.
10. A log scaling method to scale a plurality of logs, each log within the plurality of logs including a first end and a second end separated by a length of the log, the method comprising: capturing a first 3D image, using a first 3D stereo sensor in a first set of sensors, of the first end of the log in the plurality of logs, the first set of sensors including a first LIDAR sensor that captures LIDAR images and a first 3D stereo sensor that captures 3D stereo images; capturing a first depth image, using the first LIDAR sensor in the first set of sensors, of the first end of the log in the plurality of logs, wherein the first depth image provides a first distance between the first set of sensors and the first end of the log in the plurality of logs; capturing a second 3D image, using a second 3D stereo sensor in a second set of sensors, of the second end of the log in the plurality of logs, the second set of sensors including a second LIDAR sensor that captures LIDAR images and a second 3D stereo sensor that captures 3D stereo images; capturing a second depth image, using the second LIDAR sensor in the second set of sensors, of the second end of the log in the plurality of logs, wherein the second depth image provides a second distance between the second set of sensors and the second end of the log in the plurality of logs; determining a relative distance between relative positions of the first set of sensors and the second set of sensors; determining, using a processor-enabled controller that is communicatively coupled to the first set of sensors and the second set of sensors, a length of the log using the first distance, the second distance, and the relative distance; wherein the processor-enabled controller further determines a diameter value for the log based upon the first 3D image of the first end of the log in the plurality of logs and the first distance between the first set of sensors and the first end of the log in the plurality of logs; calculating, using the processor-enabled controller, a product value for the log, the product value being determined using the log length and the diameter value.
11. The log scaling method of claim 10, wherein the first set of sensors and second set of sensors are mounted on motorized slider systems that position the first set of sensors and second set of sensors with respect to the plurality of logs.
12. The log scaling method of claim 11, wherein the motorized slider system enables the first set of sensors and second set of sensors to be moved vertically and horizontally around the plurality of logs.
13. The log scaling method of claim 11, wherein the one or more mobile stands incorporate extendable and retractable arms with one or more joints, rotation points, or both.
14. The log scaling method of claim 10, further comprising detecting log locations and determining a count of the logs using data from the first 3D image depicting the first end of the log in the plurality of logs and data from the second 3D image depicting the second end of the log in the plurality of logs.
15. The log scaling method of claim 10, further comprising segmenting logs and measuring the diameters of the logs data from the first 3D image depicting the first end of the log in the plurality of logs and data from a second 3D image depicting the second end of the log in the plurality of logs.
16. The log scaling method of claim 10, further comprising matching two ends of each log using data from the first 3D image depicting the first end of the log in the plurality of logs and data from the second 3D image depicting the second end of the log in the plurality of logs.
17. The log scaling method of claim 10, further comprising: determining tree-type information related to the log from the first and second 3D images, the tree-type information identifying one out of a plurality of types of trees, wherein determining the product value for the log is further based upon the tree-type information. Datalog, LLC By the Attorneys for the Applicant SPRUSON & FERGUSON
NZ795454A 2019-09-12 Log scaling system and related methods NZ795454B2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201862732433P 2018-09-17 2018-09-17
NZ787774A NZ787774A (en) 2018-09-17 2019-09-12 Log scaling system and related methods

Publications (2)

Publication Number Publication Date
NZ795454A NZ795454A (en) 2024-12-20
NZ795454B2 true NZ795454B2 (en) 2025-03-21

Family

ID=

Similar Documents

Publication Publication Date Title
US20230306333A1 (en) Log scaling system and related methods
AU2019222803A1 (en) Volume measurement apparatus and method
US20100224140A1 (en) Method and a System for Measuring an Animal's Height
JP2017533052A5 (en)
CN107036687A (en) The grain storage Monitoring of Quantity method and device of view-based access control model
EP2669846A3 (en) Target recognition system and target recognition method executed by the target recognition system, target recognition program executed on the target recognition system, and recording medium storing the target recognition program
CN108792951B (en) Method, system, device and storage medium for preventing container truck from lifting using image recognition technology
CN107592922A (en) Method for implementing operation to ground
CN104266594B (en) Thickness compensation method for block frozen shrimp net content detection based on different visual technologies
NZ795454B2 (en) Log scaling system and related methods
GB2581060A (en) Methods and apparatus for dimensioning an object using proximate devices
CN110930362A (en) Screw safety detection method, device and system
KR20170053207A (en) Apparatus and method for measuring strip deviation
KR20170104242A (en) Apparatus and method for estimating of camera pose
CN111623716A (en) Dynamic detection device and detection method for diameter size of truck wheel
CN107798499A (en) Intelligent warehousing system and its method of work
CN116798006A (en) Appearance anomaly detection methods and devices of road traffic facilities, electronic equipment and media
FI20185621A1 (en) System and method for measuring a sports performance and displaying the results
EP3264346A3 (en) Processing consignments in a pick-up and delivery network on the basis of weight and volume information
KR101543096B1 (en) Method for detecting intrusion using scene analysis of two dimensions and three dimensions
CN107487719A (en) Stereoscopic warehousing system and its method of work
KR20170053777A (en) System and method for measuring strip deviation