Abstract: A computational pixel imaging device can include multiple digitizing counters per pixel that can be used to execute simultaneous signal-processing threads on acquired image data. The imaging device can also include infinite dynamic range sensing and perform signal down-sampling.

Abstract: A method for calculating carbon credits includes obtaining sensor data associated with at least a portion of a deployment for cultivating a target product in a body of water, executing at least one model based at least in part on the sensor data to generate an output predicting at least one characteristic associated with the target product, the deployment, or a portion of the body of water, and inputting the output into a quantification model. The quantification model is executed to generate an output associated with a predicted capacity of the target product to sequester carbon dioxide. An accuracy of the predicted capacity resulting from the output of the quantification model is greater than an accuracy of a predicted or inferred capacity resulting from the output of each model individually. Carbon dioxide offset credits are determined based on the predicted capacity resulting from the output of the quantification model.

Abstract: A method for calculating carbon credits includes obtaining sensor data associated with at least a portion of a deployment for cultivating a target product in a body of water, executing at least one model based at least in part on the sensor data to generate an output predicting at least one characteristic associated with the target product, the deployment, or a portion of the body of water, and inputting the output into a quantification model. The quantification model is executed to generate an output associated with a predicted capacity of the target product to sequester carbon dioxide. An accuracy of the predicted capacity resulting from the output of the quantification model is greater than an accuracy of a predicted or inferred capacity resulting from the output of each model individually. Carbon dioxide offset credits are determined based on the predicted capacity resulting from the output of the quantification model.

Abstract: A computational pixel imaging device can include multiple digitizing counters per pixel that can be used to execute simultaneous signal-processing threads on acquired image data. The imaging device can also include infinite dynamic range sensing and perform signal down-sampling.

Abstract: A computational pixel imaging device that includes an array of pixel integrated circuits for event-based detection and imaging. Each pixel may include a digital counter that accumulates a digital number, which indicates whether a change is detected by the pixel. The counter may count in one direction for a portion of an exposure and count in an opposite direction for another portion of the exposure. The imaging device may be configured to collect and transmit key frames at a lower rate, and collect and transmit delta or event frames at a higher rate. The key frames may include a full image of a scene, captured by the pixel array. The delta frames may include sparse data, captured by pixels that have detected meaningful changes in received light intensity. High speed, low transmission bandwidth motion image video can be reconstructed using the key frames and the delta frames.

Abstract: A method for calculating carbon credits includes obtaining sensor data associated with at least a portion of a deployment for cultivating a target product in a body of water, executing at least one model based at least in part on the sensor data to generate an output predicting at least one characteristic associated with the target product, the deployment, or a portion of the body of water, and inputting the output into a quantification model. The quantification model is executed to generate an output associated with a predicted capacity of the target product to sequester carbon dioxide. An accuracy of the predicted capacity resulting from the output of the quantification model is greater than an accuracy of a predicted or inferred capacity resulting from the output of each model individually. Carbon dioxide offset credits are determined based on the predicted capacity resulting from the output of the quantification model.

Abstract: A computational pixel imaging device can include multiple digitizing counters per pixel that can be used to execute simultaneous signal-processing threads on acquired image data. The imaging device can also include infinite dynamic range sensing and perform signal down- sampling.

Abstract: When imaging bright objects, a conventional detector array can saturate, making it difficult to produce an image with a dynamic range that equals the scene's dynamic range. Conversely, a digital focal plane array (DFPA) with one or more m-bit counters can produce an image whose dynamic range is greater than the native dynamic range. In one example, the DFPA acquires a first image over a relatively brief integration period at a relatively low gain setting. The DFPA then acquires a second image over longer integration period and/or a higher gain setting. During this second integration period, counters may roll over, possibly several times, to capture a residue modulus 2m of the number of counts (as opposed to the actual number of counts). A processor in or coupled to the DFPA generates a high-dynamic range image based on the first image and the residues modulus 2m.

Abstract: A computational pixel imaging device that includes an array of pixel integrated circuits for event-based detection and imaging. Each pixel may include a digital counter that accumulates a digital number, which indicates whether a change is detected by the pixel. The counter may count in one direction for a portion of an exposure and count in an opposite direction for another portion of the exposure. The imaging device may be configured to collect and transmit key frames at a lower rate, and collect and transmit delta or event frames at a higher rate. The key frames may include a full image of a scene, captured by the pixel array. The delta frames may include sparse data, captured by pixels that have detected meaningful changes in received light intensity. High speed, low transmission bandwidth motion image video can be reconstructed using the key frames and the delta frames.

Abstract: When imaging bright objects, a conventional detector array can saturate, making it difficult to produce an image with a dynamic range that equals the scene's dynamic range. Conversely, a digital focal plane array (DFPA) with one or more m-bit counters can produce an image whose dynamic range is greater than the native dynamic range. In one example, the DFPA acquires a first image over a relatively brief integration period at a relatively low gain setting. The DFPA then acquires a second image over longer integration period and/or a higher gain setting. During this second integration period, counters may roll over, possibly several times, to capture a residue modulus 2?? of the number of counts (as opposed to the actual number of counts). A processor in or coupled to the DFPA generates a high-dynamic range image based on the first image and the residues modulus 2??.

Abstract: A wheel weight assembly with inner and outer weights, inner and outer fasteners, and anti-rotation plates. Inner fasteners can include inner and outer nuts, and a stud that extends through inner weight. Outer nuts can attach to studs and outer fasteners. Anti-rotation plates can fit over outer nuts in recesses of inner weight to prevent rotation of outer nuts. The weight assembly can also include intermediate weight and intermediate fasteners. Intermediate fasteners can include intermediate nuts and studs, where proximal end of stud attaches to inner fastener, and distal end of stud extends into recess of intermediate weight. Intermediate nuts can attach to distal ends of studs, and to outer fasteners. Anti-rotation plates fit over intermediate nuts in recesses of intermediate weight to prevent rotation of intermediate nuts. Anti-rotation plates and recesses can be pear-shaped. Cutouts in anti-rotation plates and intermediate nuts can be polygonal-shaped.

Abstract: A computational pixel imaging device can include multiple digitizing counters per pixel that can be used to execute simultaneous signal-processing threads on acquired image data. The imaging device can also include infinite dynamic range sensing and perform signal down-sampling.

Abstract: A computational pixel imaging device that includes an array of pixel integrated circuits for event-based detection and imaging. Each pixel may include a digital counter that accumulates a digital number, which indicates whether a change is detected by the pixel. The counter may count in one direction for a portion of an exposure and count in an opposite direction for another portion of the exposure. The imaging device may be configured to collect and transmit key frames at a lower rate, and collect and transmit delta or event frames at a higher rate. The key frames may include a full image of a scene, captured by the pixel array. The delta frames may include sparse data, captured by pixels that have detected meaningful changes in received light intensity. High speed, low transmission bandwidth motion image video can be reconstructed using the key frames and the delta frames.

Abstract: When imaging bright objects, a conventional detector array can saturate, making it difficult to produce an image with a dynamic range that equals the scene's dynamic range. Conversely, a digital focal plane array (DFPA) with one or more m-bit counters can produce an image whose dynamic range is greater than the native dynamic range. In one example, the DFPA acquires a first image over a relatively brief integration period at a relatively low gain setting. The DFPA then acquires a second image over longer integration period and/or a higher gain setting. During this second integration period, counters may roll over, possibly several times, to capture a residue modulus 2m of the number of counts (as opposed to the actual number of counts). A processor in or coupled to the DFPA generates a high-dynamic range image based on the first image and the residues modulus 2m.

Abstract: A wheel weight assembly with inner and outer weights, inner and outer fasteners, and anti-rotation plates. Inner fasteners can include inner and outer nuts, and a stud that extends through inner weight. Outer nuts can attach to studs and outer fasteners. Anti-rotation plates can fit over outer nuts in recesses of inner weight to prevent rotation of outer nuts. The weight assembly can also include intermediate weight and intermediate fasteners. Intermediate fasteners can include intermediate nuts and studs, where proximal end of stud attaches to inner fastener, and distal end of stud extends into recess of intermediate weight. Intermediate nuts can attach to distal ends of studs, and to outer fasteners. Anti-rotation plates fit over intermediate nuts in recesses of intermediate weight to prevent rotation of intermediate nuts. Anti-rotation plates and recesses can be pear-shaped. Cutouts in anti-rotation plates and intermediate nuts can be polygonal-shaped.

Abstract: When imaging bright objects, a conventional detector array can saturate, making it difficult to produce an image with a dynamic range that equals the scene's dynamic range. Conversely, a digital focal plane array (DFPA) with one or more m-bit counters can produce an image whose dynamic range is greater than the native dynamic range. In one example, the DFPA acquires a first image over a relatively brief integration period at a relatively low gain setting. The DFPA then acquires a second image over longer integration period and/or a higher gain setting. During this second integration period, counters may roll over, possibly several times, to capture a residue modulus 2m of the number of counts (as opposed to the actual number of counts). A processor in or coupled to the DFPA generates a high-dynamic range image based on the first image and the residues modulus 2m.

Abstract: When imaging bright objects, a conventional detector array can saturate, making it difficult to produce an image with a dynamic range that equals the scene's dynamic range. Conversely, a digital focal plane array (DFPA) with one or more m-bit counters can produce an image whose dynamic range is greater than the native dynamic range. In one example, the DFPA acquires a first image over a relatively brief integration period at a relatively low gain setting. The DFPA then acquires a second image over longer integration period and/or a higher gain setting. During this second integration period, counters may roll over, possibly several times, to capture a residue modulus 2m of the number of counts (as opposed to the actual number of counts). A processor in or coupled to the DFPA generates a high-dynamic range image based on the first image and the residues modulus 2m.

Abstract: When imaging bright objects, a conventional detector array can saturate, making it difficult to produce an image with a dynamic range that equals the scene's dynamic range. Conversely, a digital focal plane array (DFPA) with one or more m-bit counters can produce an image whose dynamic range is greater than the native dynamic range. In one example, the DFPA acquires a first image over a relatively brief integration period at a relatively low gain setting. The DFPA then acquires a second image over longer integration period and/or a higher gain setting. During this second integration period, counters may roll over, possibly several times, to capture a residue modulus 2m of the number of counts (as opposed to the actual number of counts). A processor in or coupled to the DFPA generates a high-dynamic range image based on the first image and the residues modulus 2m.

Abstract: Provided are methods and systems comprising a geographical mapping module; a data analytic module; and an integrator module, wherein the integrator module causes data changes input into the geographical mapping module to be reflected in the data analytic module, and wherein the integrator module causes data changes input into the data analytic module to be reflected in the geographical mapping module.

Abstract: When imaging bright objects, a conventional detector array can saturate, making it difficult to produce an image with a dynamic range that equals the scene's dynamic range. Conversely, a digital focal plane array (DFPA) with one or more m-bit counters can produce an image whose dynamic range is greater than the native dynamic range. In one example, the DFPA acquires a first image over a relatively brief integration period at a relatively low gain setting. The DFPA then acquires a second image over longer integration period and/or a higher gain setting. During this second integration period, counters may roll over, possibly several times, to capture a residue modulus 2m of the number of counts (as opposed to the actual number of counts). A processor in or coupled to the DFPA generates a high-dynamic range image based on the first image and the residues modulus 2m.