Sieora T. Profile | Freelancer

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Artificial Intelligence

Machine Learning (ML)

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$10 USD/uro

chennai,

$10 USD/uro

Trenutno je 3:49 pop. tukaj

Datum pridružitve oktober 11, 2019

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Sieora T.

@SIEORA

0,0

(0 ocen)

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$10 USD/uro

chennai,

$10 USD/uro

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Stopnja ponovnega najema

AI Developer with Hardware and Software Skills

We have top experts in Artificial Intelligence(AI), Deep learning, Machine learning, Jetson Nano, Object detection, Image segmentation, Machine Vision, Embedded System, IoT, Raspberry Pi, Blockchain, Smart Contracts, Edge Computing, Deepstream SDK, Jetson nano, Jetson Xavier, Jetson Orin. We do all kinds of projects from small to high end results. We support end to end product development including both hardware and software for any ideas from the client.

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Stopite v stik s/z Sieora T. glede vašega dela

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Portfelj

We used smart contracts in supply chain to maintain vaccination stock with hospital, Manfacturer, and citizen login.

Supply chain Management using Blockchain and Smart contract

We used smart contracts in supply chain to maintain vaccination stock with hospital, Manfacturer, and citizen login.

Supply chain Management using Blockchain and Smart contract

We used smart contracts in supply chain to maintain vaccination stock with hospital, Manfacturer, and citizen login.

Supply chain Management using Blockchain and Smart contract

We used smart contracts to store efficient medical data and vaccination information with hospital, lab, and citizen login. We used IPFS to store medical records.

Medical Data Secure Storage using Blockchain Smart Contract

We used smart contracts to store efficient medical data and vaccination information with hospital, lab, and citizen login. We used IPFS to store medical records.

Medical Data Secure Storage using Blockchain Smart Contract

We used smart contracts to store efficient medical data and vaccination information with hospital, lab, and citizen login. We used IPFS to store medical records.

Medical Data Secure Storage using Blockchain Smart Contract

We used smart contracts to store efficient medical data and vaccination information with hospital, lab, and citizen login. We used IPFS to store medical records.

Medical Data Secure Storage using Blockchain Smart Contract

For gun detection, we have collected over 40000 images. After that, we manually annotated all of the images and trained it with the yolov7 tiny model. We used the Jetson Nano, Jetson Xavier NX, and Jetson Oric Development Kit for inference. For this project, we successfully generated an engine file and a deep stream pipeline.

Gun Detection using YoloV7 Tiny model with Deep Stream

For gun detection, we have collected over 40000 images. After that, we manually annotated all of the images and trained it with the yolov7 tiny model. We used the Jetson Nano, Jetson Xavier NX, and Jetson Oric Development Kit for inference. For this project, we successfully generated an engine file and a deep stream pipeline.

Gun Detection using YoloV7 Tiny model with Deep Stream

For gun detection, we have collected over 40000 images. After that, we manually annotated all of the images and trained it with the yolov7 tiny model. We used the Jetson Nano, Jetson Xavier NX, and Jetson Oric Development Kit for inference. For this project, we successfully generated an engine file and a deep stream pipeline.

Gun Detection using YoloV7 Tiny model with Deep Stream

For gun detection, we have collected over 40000 images. After that, we manually annotated all of the images and trained it with the yolov7 tiny model. We used the Jetson Nano, Jetson Xavier NX, and Jetson Oric Development Kit for inference. For this project, we successfully generated an engine file and a deep stream pipeline.

Gun Detection using YoloV7 Tiny model with Deep Stream

We collected 1000s of Indian traffic sign datasets, annotated them, and then trained them with an efficient object detection algorithm, achieving 98% accuracy.

Traffic Sign Detection Using Deep learning object detection

We collected 1000s of Indian traffic sign datasets, annotated them, and then trained them with an efficient object detection algorithm, achieving 98% accuracy.

Traffic Sign Detection Using Deep learning object detection

We collected 1000s of Indian traffic sign datasets, annotated them, and then trained them with an efficient object detection algorithm, achieving 98% accuracy.

Traffic Sign Detection Using Deep learning object detection

We used human activity recognition in this project. We forecasted two types of activities. One in everyday activities such as walking and standing. The second type is abnormal behaviour, such as falling down and fighting.

Human Activity Recognition using Deep Learning and CV

We used human activity recognition in this project. We forecasted two types of activities. One in everyday activities such as walking and standing. The second type is abnormal behaviour, such as falling down and fighting.

Human Activity Recognition using Deep Learning and CV

We used human activity recognition in this project. We forecasted two types of activities. One in everyday activities such as walking and standing. The second type is abnormal behaviour, such as falling down and fighting.

Human Activity Recognition using Deep Learning and CV

We used smart contracts in supply chain to maintain vaccination stock with hospital, Manfacturer, and citizen login.

Supply chain Management using Blockchain and Smart contract

We used smart contracts in supply chain to maintain vaccination stock with hospital, Manfacturer, and citizen login.

Supply chain Management using Blockchain and Smart contract

We used smart contracts in supply chain to maintain vaccination stock with hospital, Manfacturer, and citizen login.

Supply chain Management using Blockchain and Smart contract

We used smart contracts to store efficient medical data and vaccination information with hospital, lab, and citizen login. We used IPFS to store medical records.

Medical Data Secure Storage using Blockchain Smart Contract

We used smart contracts to store efficient medical data and vaccination information with hospital, lab, and citizen login. We used IPFS to store medical records.

Medical Data Secure Storage using Blockchain Smart Contract

We used smart contracts to store efficient medical data and vaccination information with hospital, lab, and citizen login. We used IPFS to store medical records.

Medical Data Secure Storage using Blockchain Smart Contract

We used smart contracts to store efficient medical data and vaccination information with hospital, lab, and citizen login. We used IPFS to store medical records.

Medical Data Secure Storage using Blockchain Smart Contract

For gun detection, we have collected over 40000 images. After that, we manually annotated all of the images and trained it with the yolov7 tiny model. We used the Jetson Nano, Jetson Xavier NX, and Jetson Oric Development Kit for inference. For this project, we successfully generated an engine file and a deep stream pipeline.

Gun Detection using YoloV7 Tiny model with Deep Stream

For gun detection, we have collected over 40000 images. After that, we manually annotated all of the images and trained it with the yolov7 tiny model. We used the Jetson Nano, Jetson Xavier NX, and Jetson Oric Development Kit for inference. For this project, we successfully generated an engine file and a deep stream pipeline.

Gun Detection using YoloV7 Tiny model with Deep Stream

For gun detection, we have collected over 40000 images. After that, we manually annotated all of the images and trained it with the yolov7 tiny model. We used the Jetson Nano, Jetson Xavier NX, and Jetson Oric Development Kit for inference. For this project, we successfully generated an engine file and a deep stream pipeline.

Gun Detection using YoloV7 Tiny model with Deep Stream

For gun detection, we have collected over 40000 images. After that, we manually annotated all of the images and trained it with the yolov7 tiny model. We used the Jetson Nano, Jetson Xavier NX, and Jetson Oric Development Kit for inference. For this project, we successfully generated an engine file and a deep stream pipeline.

Gun Detection using YoloV7 Tiny model with Deep Stream

We collected 1000s of Indian traffic sign datasets, annotated them, and then trained them with an efficient object detection algorithm, achieving 98% accuracy.

Traffic Sign Detection Using Deep learning object detection

We collected 1000s of Indian traffic sign datasets, annotated them, and then trained them with an efficient object detection algorithm, achieving 98% accuracy.

Traffic Sign Detection Using Deep learning object detection

We collected 1000s of Indian traffic sign datasets, annotated them, and then trained them with an efficient object detection algorithm, achieving 98% accuracy.

Traffic Sign Detection Using Deep learning object detection

We used human activity recognition in this project. We forecasted two types of activities. One in everyday activities such as walking and standing. The second type is abnormal behaviour, such as falling down and fighting.

Human Activity Recognition using Deep Learning and CV

We used human activity recognition in this project. We forecasted two types of activities. One in everyday activities such as walking and standing. The second type is abnormal behaviour, such as falling down and fighting.

Human Activity Recognition using Deep Learning and CV

We used human activity recognition in this project. We forecasted two types of activities. One in everyday activities such as walking and standing. The second type is abnormal behaviour, such as falling down and fighting.

Human Activity Recognition using Deep Learning and CV

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