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公开(公告)号:US12062159B1
公开(公告)日:2024-08-13
申请号:US18401054
申请日:2023-12-29
Applicant: Tartan Aerial Sense Tech Private Limited
Inventor: Dhivakar Kanagaraj , Pranav M P , Raghul Raghu , Prakash Mathews Pothen
IPC: G06T5/70 , G06T5/40 , G06T5/60 , G06T7/11 , G06T7/136 , G06T7/155 , G06T7/194 , G06T7/90 , G06V20/10 , H04N23/84
CPC classification number: G06T5/70 , G06T5/40 , G06T5/60 , G06T7/11 , G06T7/136 , G06T7/155 , G06T7/194 , G06T7/90 , G06V20/188 , G06T2207/10024 , G06T2207/20032 , G06T2207/20036 , G06T2207/20081 , G06T2207/20084 , G06T2207/30188 , H04N23/84
Abstract: A camera apparatus includes control circuitry configured to acquire an input color image of an agricultural field, smoothen the input color image with a median blur and convert the smoothened input color image into a plurality of different color spaces. The control circuitry is configured to execute a set of channel operations on an individual channel or combined channels in each color space of the plurality of different color spaces and generate a normalized image based on outputs received from each color space processing path. The control circuitry is configured to determine a threshold value based on a histogram of the normalized image and apply the determined threshold value to generate a first binary mask image. The control circuitry is configured to apply one or more morphology operations to remove noise in the first binary mask image and generate an output binary mask image of foliage mask.
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2.
公开(公告)号:US12080064B1
公开(公告)日:2024-09-03
申请号:US18586401
申请日:2024-02-23
Applicant: Tartan Aerial Sense Tech Private Limited
Inventor: Gunasekaran Srinivasan , Dhivakar Kanagaraj , Pranav M P , Raghul Raghu , Prakash Mathews Pothen , S Prajwal
CPC classification number: G06V20/188 , G06T3/4015 , G06V10/25 , G06V10/82 , H04N9/73 , H05K1/181 , G06V2201/07 , H05K2201/10121 , H05K2201/10151 , H05K2201/10159
Abstract: A camera apparatus including a central processing unit configured to capture raw image sensor data of a field-of-view of an agricultural field, concurrently execute a plurality of different image transformation operations in a single pass on the captured raw image sensor data to obtain a processed image output, based on an one-time read of pixel values of the captured raw image sensor data and push the processed image output in a shared memory accessible to a plurality of application nodes in the camera apparatus. The camera apparatus includes a graphical processing unit configured to execute a first neural network model on the processed image output to detect one or more foliage regions in the processed image output and concomitantly execute a second neural network model on the processed image output to detect one or more crop plants in the processed image output.
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3.
公开(公告)号:US20240206453A1
公开(公告)日:2024-06-27
申请号:US18394937
申请日:2023-12-22
Applicant: Tartan Aerial Sense Tech Private Limited
Inventor: Aditya Sunil Patil , Santosh C. Lakkumane , Prakash Mathews Pothen
IPC: A01M7/00 , A01M21/02 , H04N23/661
CPC classification number: A01M7/0089 , A01M7/0042 , A01M21/02 , H04N23/662
Abstract: A system mounted in a vehicle for agricultural applications includes a master apparatus and one or more slave apparatus. The master apparatus includes a central image-capture device and a master control device that is configured to acquire first geospatial location data including a first precision value and obtain location correction data from an external device. The master control device further generates a second geospatial location data including a second precision value by applying the location correction data to the first geospatial location data. The master control device further communicates the generated second geospatial location data to the slave control device. Thereafter, each slave control device is configured to determine one or more time slots in advance to automatically perform a determined action when the vehicle is in motion.
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公开(公告)号:US20240206365A1
公开(公告)日:2024-06-27
申请号:US18394601
申请日:2023-12-22
Applicant: Tartan Aerial Sense Tech Private Limited
Inventor: Prakash Mathews Pothen , Varun S. Kumar , Rajan P , Ankush Ashok Gudape
CPC classification number: A01B76/00 , A01B79/02 , G06T7/136 , G06T7/174 , G06T7/251 , G06T2207/10016 , G06T2207/20081 , G06T2207/20084 , G06T2207/30188
Abstract: A modular apparatus mounted in a vehicle that includes an image-capture device that further includes a printed circuit board (PCB) having a perforation to accommodate an image-sensor and a plurality of layers of strobe-lights to surround the image-sensor. The modular apparatus includes a control device to control the image-capture device and determine a plurality of time instants at which the image-sensor and the plurality of layers of strobe-lights are activated. Furthermore, the control device captures a sequence of images of a field-of-view (FOV) of a defined area of a field at the determined plurality of time instants. Thereafter, the control device detects and tracks a crop plant in the defined area and generate a bounding box around the crop plant that is tracked. Further, the control device detects a plurality of buffer values and cause an implement to perform a predefined action on the crop plant.
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5.
公开(公告)号:US20250131715A1
公开(公告)日:2025-04-24
申请号:US18791324
申请日:2024-07-31
Applicant: Tartan Aerial Sense Tech Private Limited
Inventor: Gunasekaran Srinivasan , Dhivakar Kanagaraj , Pranav M P , Raghul Raghu , Prakash Mathews Pothen , S Prajwal
Abstract: A camera apparatus including a central processing unit configured to capture raw image sensor data of a field-of-view of an agricultural field, concurrently execute a plurality of different image transformation operations in a single pass on the captured raw image sensor data to obtain a processed image output, based on an one-time read of pixel values of the captured raw image sensor data and push the processed image output in a shared memory accessible to a plurality of application nodes in the camera apparatus. The camera apparatus includes a graphical processing unit configured to cause the plurality of application nodes to concurrently access the processed image output from the shared memory to detect one or more foliage regions or one or more crop plants in the processed image output.
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6.
公开(公告)号:US20250131714A1
公开(公告)日:2025-04-24
申请号:US18741694
申请日:2024-06-12
Applicant: Tartan Aerial Sense Tech Private Limited
Inventor: Dhivakar Kanagaraj , Pranav M P , Raghul Raghu , Prakash Mathews Pothen
IPC: G06V20/10 , G06T5/40 , G06T5/70 , G06T7/11 , G06T7/136 , G06V10/26 , G06V10/77 , G06V10/774 , G06V10/82
Abstract: A system includes a training server that in a training phase causes a custom neural network model for foliage detection to learn features related to foliage from a modified training dataset and further learn a color variation range of a predefined color associated with the features. A combination of the features related to foliage and the color variation range of the predefined color is utilized to obtain a trained custom neural network model that is deployed in a camera apparatus. The camera apparatus in the operational phase captures a new color image of an agricultural field, operates the trained custom neural network model to detect one or more foliage regions in the new color image in a real time or near real time, and operates at least one of a plurality of agricultural implements, based on the detected one or more foliage regions in the new color image.
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公开(公告)号:US20250131539A1
公开(公告)日:2025-04-24
申请号:US18767934
申请日:2024-07-09
Applicant: Tartan Aerial Sense Tech Private Limited
Inventor: Dhivakar Kanagaraj , Pranav M P , Raghul Raghu , Prakash Mathews Pothen
IPC: G06T5/70 , G06T5/40 , G06T5/60 , G06T7/11 , G06T7/136 , G06T7/155 , G06T7/194 , G06T7/90 , G06V20/10 , H04N23/84
Abstract: A camera apparatus acquires an input color image of an agricultural field and generates a first binary mask image from the input color image. The first binary mask image includes one or more foliage masks indicative of a presence of one or more foliage regions in a field-of-view with a first accuracy level. One or more morphology operations are applied to remove noise in the first binary mask image and one or more image regions that meet a defined criteria to be considered as foliage are identified. An output binary mask image of foliage mask is generated, which is set as a ground truth to train a custom neural network model in a training phase. The trained custom neural network model is operated to detect one or more other foliage regions in a new color image captured by the camera apparatus in a real time or near real time.
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公开(公告)号:US12112536B1
公开(公告)日:2024-10-08
申请号:US18401066
申请日:2023-12-29
Applicant: Tartan Aerial Sense Tech Private Limited
Inventor: Dhivakar Kanagaraj , Pranav M P , Raghul Raghu , Prakash Mathews Pothen
IPC: G06V20/10 , G06T5/40 , G06T5/70 , G06T7/11 , G06T7/136 , G06V10/26 , G06V10/77 , G06V10/774 , G06V10/82
CPC classification number: G06V20/188 , G06T5/40 , G06T5/70 , G06T7/11 , G06T7/136 , G06V10/273 , G06V10/7715 , G06V10/7747 , G06V10/82 , G06T2207/10024 , G06T2207/20081 , G06T2207/20084 , G06T2207/30188
Abstract: A camera apparatus includes control circuitry, where in a training phase, the control circuitry is configured to generate a set of binary images of foliage masks, where each binary image comprises one or more foliage regions demarcated from a non-foliage region. A modified training dataset of color images is generated and a custom neural network model for foliage detection is trained. The control circuitry causes the custom neural network model to not only learn a plurality of features related to foliage but also learn a color variation range of predefined color associated with the plurality of features and utilize combination of the plurality of features related to foliage and the color variation range to obtain trained custom neural network model. The control circuitry is configured to operate the trained custom neural network model to detect one or more foliage regions in a new color image in real time.
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9.
公开(公告)号:US20240212342A1
公开(公告)日:2024-06-27
申请号:US18395152
申请日:2023-12-22
Applicant: Tartan Aerial Sense Tech Private Limited
Inventor: Gunasekaran Srinivasan , Prakash Mathews Pothen , Aditya Sunil Patil
CPC classification number: G06V20/188 , G06Q50/02 , G06V10/56 , G06V20/58
Abstract: A system mounted in a vehicle includes a plurality of image-capture devices to capture a sequence of color images corresponding to a plurality of field—of views (FOVs) of a plurality of defined areas. The system includes one or more hardware processors to determine a health state of a crop plant and a growth state of the crop plant. A spray mode is determined and dynamically selected from a predefined list of spray modes based on the determined health state of the crop plant, the growth state of the crop plant, and a type of chemical to be sprayed from the obtained sequence of colour images. A different set of electronically controlled sprayer nozzles is automatically operated at different time instants to release the selected type of chemical from a predefined number of the electronically controlled sprayer nozzles based on the selected spray mode.
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10.
公开(公告)号:US20240206452A1
公开(公告)日:2024-06-27
申请号:US18394411
申请日:2023-12-22
Applicant: Tartan Aerial Sense Tech Private Limited
Inventor: Gunasekaran Srinivasan , Prakash Mathews Pothen , Dhivakar Kanagaraj
CPC classification number: A01M7/0089 , A01C21/005 , A01C21/007 , A01C23/047 , A01M7/0042 , A01M7/0057 , B05B12/122
Abstract: A system mounted in a vehicle includes a boom arrangement including a predefined number of electronically controllable sprayer nozzles and a plurality of image-capture devices. One or more hardware processors of the system are configured to obtain a plurality of images from the plurality of image-capture devices and receive geospatial location correction data from an external device. The one or more hardware processors are configured to execute mapping of pixel data of weeds or a crop plant in an image to distance information and cause a specific set of electronically controllable sprayer nozzles from amongst the predefined number of electronically controllable sprayer nozzles to operate based on a defined confidence threshold.
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