Patents by Inventor Ajeet Kumar Singh
Ajeet Kumar Singh has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11681827Abstract: The disclosure herein generally relates to the field of privacy preserving in an application, and, more particularly, to enabling privacy in an application using fully homomorphic encryption. The disclosure more specifically refers to enabling a most optimal FHE for privacy preserving for the application based on a set of constraints using a disclosed set of optimization tasks. The set of optimization tasks comprise a multi objective-multi constraint optimization task and a single objective-multi constraint optimization task, that identifies an optimal FHE library, along with an associated FHE functionality and an optimal configuration of the associated FHE functionality based on the set of constraints. The identified FHE library along with the associated FHE functionality and the optimal configuration of the associated FHE functionality facilitate optimal implementation of privacy in the applications.Type: GrantFiled: June 29, 2021Date of Patent: June 20, 2023Assignee: Tata Consultancy Services LimitedInventors: Nitesh Emmadi, Rajan Mindigal Alasingara Bhattachar, Harika Narumanchi, Imtiyazuddin Shaik, Ajeet Kumar Singh
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Patent number: 11605218Abstract: Performance enhancement of face verification systems is credited due to advancement in deep learning methods. However, these systems fail to provide interpretations for decision makings despite their ability to attain high accuracy. Various post-hoc methods have been proposed due to increased demand of deep learning models for better interpretations. However, face verification systems are still prone to adversarial attacks. Present disclosure provides a face verification system and method which addresses the issue of interpretability by employing modular neural network(s), wherein representations for each individual facial feature such as nose, mouth, eyes, etc., are learned separately and verification of input face images is performed. Through experiments, present disclosure demonstrates that the method described herein is resistant to adversarial attacks, thereby addressing another crucial weakness concerning deep learning models.Type: GrantFiled: June 25, 2021Date of Patent: March 14, 2023Assignee: TATA CONSULTANCY SERVICES LIMITEDInventors: Preetam Prabhu Srikar Dammu, Srinivasa Rao Chalamala, Ajeet Kumar Singh
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Publication number: 20220365963Abstract: Image Retrieval is an application of computer vision that deals with searching images in large databases. Conventional methods utilize the entire image to perform the image retrieval task rather than considering specific features. The embodiments herein provide a method and system for feature based image retrieval. Initially, the system receives an input image and a query label. Further, a feature specific encoder is selected from a plurality of feature specific encoders based on the query label. A first set of feature vectors are computed from the input image using the selected feature specific encoder. Further, a Locality Sensitive Hashing (LSH) value is computed from the first set of feature vectors. Finally, a plurality of matching images is obtained from a plurality database images based on a comparison between the computed feature specific LSH value and a plurality of feature specific LSH values stored in a feature specific LSH database.Type: ApplicationFiled: April 21, 2022Publication date: November 17, 2022Applicant: Tata Consultancy Services LimitedInventors: Preetam Prabhu Srikar DAMMU, Srinivasa Rao CHALAMALA, Ajeet Kumar SINGH
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Publication number: 20220269893Abstract: Performance enhancement of face verification systems is credited due to advancement in deep learning methods. However, these systems fail to provide interpretations for decision makings despite their ability to attain high accuracy. Various post-hoc methods have been proposed due to increased demand of deep learning models for better interpretations. However, face verification systems are still prone to adversarial attacks. Present disclosure provides a face verification system and method which addresses the issue of interpretability by employing modular neural network(s), wherein representations for each individual facial feature such as nose, mouth, eyes, etc., are learned separately and verification of input face images is performed. Through experiments, present disclosure demonstrates that the method described herein is resistant to adversarial attacks, thereby addressing another crucial weakness concerning deep learning models.Type: ApplicationFiled: June 25, 2021Publication date: August 25, 2022Applicant: Tata Consultancy Services LimitedInventors: Preetam Prabhu Srikar DAMMU, Srinivasa Rao CHALAMALA, Ajeet Kumar SINGH
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Patent number: 11270010Abstract: Biometric templates (template) are used to store biometric data of one or more users. As biometric data of each user is unique and non-replaceable, template security is a major concern. This disclosure relates generally to template protection, and more particularly to a method and system for biometric template protection. The system generates a final perturbation value for data in the template, based on a first binary code (BC), a second binary code (BC?), feature vectors corresponding to data in the template, and an initial random perturbation. The final perturbation and the feature vectors are mapped to the first binary code. The first binary code represents the template. Every time the first binary code is compromised, the value of first binary code is updated, and the whole process is repeated to generate corresponding final perturbation and then the mapping is done.Type: GrantFiled: September 16, 2019Date of Patent: March 8, 2022Assignee: Tata Consultancy Services LimitedInventors: Santosh Kumar Jami, Krishna Rao Kakkirala, Srinivasa Rao Chalamala, Ajeet Kumar Singh, Arun Kumar Jindal, Balakrishna Gudla, Bala Mallikarjunarao Garlapati
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Publication number: 20220035951Abstract: The disclosure herein generally relates to the field of privacy preserving in an application, and, more particularly, to enabling privacy in an application using fully homomorphic encryption. The disclosure more specifically refers to enabling a most optimal FHE for privacy preserving for the application based on a set of constraints using a disclosed set of optimization tasks. The set of optimization tasks comprise a multi objective-multi constraint optimization task and a single objective-multi constraint optimization task, that identifies an optimal FHE library, along with an associated FHE functionality and an optimal configuration of the associated FHE functionality based on the set of constraints. The identified FHE library along with the associated FHE functionality and the optimal configuration of the associated FHE functionality facilitate optimal implementation of privacy in the applications.Type: ApplicationFiled: June 29, 2021Publication date: February 3, 2022Applicant: Tata Consultancy Services LimitedInventors: Nitesh Emmadi, Rajan Mindigal Alasingara Bhattachar, Harika Narumanchi, Imtiyazuddin Shaik, Ajeet Kumar Singh
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Patent number: 10902543Abstract: Systems and methods for insertion of a watermark into images and tampering detection of the watermarked images by a Convolutional Neural Network (CNN) technique. The traditional systems and methods provide for detecting the tampering of the watermarked images by simply identifying a presence of an inserted watermark into an image but none them provide for inserting a random sequence into input image(s) and then detect the tampering by classifying the input image(s) by a neural network.Type: GrantFiled: March 14, 2019Date of Patent: January 26, 2021Assignee: Tata Consultancy Services LimitedInventors: Krishna Rao Kakkirala, Srinivasa Rao Chalamala, Bala Mallikarjunarao Garlapati, Balakrishna Gudla, Santosh Kumar Jami, Arun Kumar Jindal, Ajeet Kumar Singh
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Patent number: 10691884Abstract: System and method for cheque image data masking are disclosed. In an example, a cheque image and a data file are received, the data file includes data records with values corresponding to sensitive data fields in the cheque image. Further, a template cheque image matching to the cheque image and redacted information associated with the template cheque image are obtained. Furthermore, a blank image snippet is generated for each sensitive data field in the cheque image based on a part of the obtained information about sensitive fields. Moreover, values corresponding to each sensitive field from the input data file are written to the blank image snippet based on the remaining information about sensitive fields. Also, the template cheque image is updated with the image snippet. Data of non-sensitive fields in the cheque image is then copied to the template cheque image, thereby facilitating cheque image data masking.Type: GrantFiled: March 23, 2017Date of Patent: June 23, 2020Assignee: Tata Consultancy Services LimitedInventors: Arun Kumar Jindal, Srinivasa Rao Chalamala, Ajeet Kumar Singh, Vijayanand Mahadeo Banahatti, Sachin Premsukh Lodha, Sumit Johri, Mayur Jain, Nandita Babu, Nikhil Girish Patwardhan, Ashim Roy
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Publication number: 20200089899Abstract: Biometric templates (template) are used to store biometric data of one or more users. As biometric data of each user is unique and non-replaceable, template security is a major concern. This disclosure relates generally to template protection, and more particularly to a method and system for biometric template protection. The system generates a final perturbation value for data in the template, based on a first binary code (BC), a second binary code (BC?), feature vectors corresponding to data in the template, and an initial random perturbation. The final perturbation and the feature vectors are mapped to the first binary code. The first binary code represents the template. Every time the first binary code is compromised, the value of first binary code is updated, and the whole process is repeated to generate corresponding final perturbation and then the mapping is done.Type: ApplicationFiled: September 16, 2019Publication date: March 19, 2020Applicant: Tata Consultancy Services LimitedInventors: Santosh Kumar JAMI, Krishna Rao KAKKIRALA, Srinivasa Rao CHALAMALA, Ajeet Kumar SINGH, Arun Kumar JINDAL, Balakrishna GUDLA, Bala Mallikarjunarao GARLAPATI
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Patent number: 10496894Abstract: System and method for text localization in images are disclosed. In an embodiment, a line and graphic eliminated image is received. Further, horizontal projection is performed on rows of the image to obtain a first flag vector, the flag vector indicates whether there is text in each row. Furthermore, a number of run-lengths of consecutive 1's and 0's is computed in the first flag vector. Moreover, text lines is extracted in the image based on the computed number of run-lengths of consecutive 1's and 0's in the first flag vector. Also, vertical projection is performed on the text lines to obtain a second flag vector for the text lines. Further, a number of run-lengths of consecutive 1's and 0's is computed in the second flag vectors. Furthermore, text is localized in the image based on the computed number of run-lengths of consecutive 1's and 0's in the second flag vectors.Type: GrantFiled: January 18, 2018Date of Patent: December 3, 2019Assignee: Tata Consultancy Services LimitedInventors: Santosh Kumar Jami, Srinivasa Rao Chalamala, Krishna Rao Kakkirala, Balakrishna Gudla, Arun Kumar Jindal, Bala Mallikarjunarao Garlapati, Sachin Premsukh Lodha, Ajeet Kumar Singh, Vijayanand Mahadeo Banahatti
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Publication number: 20190287204Abstract: Systems and methods for insertion of a watermark into images and tampering detection of the watermarked images by a Convolutional Neural Network (CNN) technique. The traditional systems and methods provide for detecting the tampering of the watermarked images by simply identifying a presence of an inserted watermark into an image but none them provide for inserting a random sequence into input image(s) and then detect the tampering by classifying the input image(s) by a neural network.Type: ApplicationFiled: March 14, 2019Publication date: September 19, 2019Applicant: Tata Consultancy Services LimitedInventors: Krishna Rao KAKKIRALA, Srinivasa Rao CHALAMALA, Bala Mallikarjunarao GARLAPATI, Balakrishna GUDLA, Santosh Kumar JAMI, Arun Kumar JINDAL, Ajeet Kumar SINGH
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Patent number: 10165622Abstract: The present disclosure relates to a sensor network, Machine Type Communication (MTC), Machine-to-Machine (M2M) communication, and technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method and an apparatus for synchronizing communication between nodes in a bluetooth low energy (BLE) mesh network. In the network, a node is configured to generates a seed value based on at least one of own transmission parameter, wherein the seed value indicates next data advertisement instance of corresponding node. Further, the seed value is used for communicating with other nodes (i.e. 1-hop neighbor nodes) in the network. Based on data transfer requirements of the node, the node synchronizes own data transmission and reception settings, such that no two nodes transmit data at the same time.Type: GrantFiled: June 3, 2016Date of Patent: December 25, 2018Assignee: Samsung Electronics Co., Ltd.Inventors: Ajeet Kumar Singh, Arzad Alam Kherani, Dae-Kyu Choi, Anand Sudhakar Chiddarwar, Sang-Jun Moon
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Publication number: 20180285675Abstract: System and method for text localization in images are disclosed. In an embodiment, a line and graphic eliminated image is received. Further, horizontal projection is performed on rows of the image to obtain a first flag vector, the flag vector indicates whether there is text in each row. Furthermore, a number of run-lengths of consecutive 1's and 0's is computed in the first flag vector. Moreover, text lines is extracted in the image based on the computed number of run-lengths of consecutive 1's and 0's in the first flag vector. Also, vertical projection is performed on the text lines to obtain a second flag vector for the text lines. Further, a number of run-lengths of consecutive 1's and 0's is computed in the second flag vectors. Furthermore, text is localized in the image based on the computed number of run-lengths of consecutive 1's and 0's in the second flag vectors.Type: ApplicationFiled: January 18, 2018Publication date: October 4, 2018Applicant: Tata Consultancy Services LimitedInventors: Santoshkumar JAMI, Srinivasa Rao CHALAMALA, Krishna Rao KAKKIRALA, Balakrishna GUDLA, Arun Kumar JINDAL, Bala Mallikarjunarao GARLAPATI, Sachin Premsukh LODHA, Ajeet Kumar SINGH, Vijayanand Mahadeo BANAHATTI
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Publication number: 20180113849Abstract: System and method for cheque image data masking are disclosed. In an example, a cheque image and a data file are received, the data file includes data records with values corresponding to sensitive data fields in the cheque image. Further, a template cheque image matching to the cheque image and redacted information associated with the template cheque image are obtained. Furthermore, a blank image snippet is generated for each sensitive data field in the cheque image based on a part of the obtained information about sensitive fields. Moreover, values corresponding to each sensitive field from the input data file are written to the blank image snippet based on the remaining information about sensitive fields. Also, the template cheque image is updated with the image snippet. Data of non-sensitive fields in the cheque image is then copied to the template cheque image, thereby facilitating cheque image data masking.Type: ApplicationFiled: March 23, 2017Publication date: April 26, 2018Applicant: Tata Consultancy Services LimitedInventors: Arun Kumar JINDAL, Srinivasa Rao CHALAMALA, Ajeet Kumar SINGH, Vijayanand Mahadeo BANAHATTI, Sachin Premsukh LODHA, Sumit JOHRI, Mayur JAIN, Nandita BABU, Nikhil Girish PATWARDHAN, Ashim ROY
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Patent number: 9788257Abstract: A method of dynamically forming a service aware Bluetooth low energy (BLE) mesh network is provided. The method includes deriving service requirements for a BLE mesh service based on a unique identifier associated with the BLE mesh service, determining a BLE mesh service to be provided based on at least one BLE parameter, and dynamically forming a BLE mesh network based on the determined BLE mesh service, the service requirements and the at least one BLE parameter. The BLE mesh network is one of connection-oriented, or connection-less.Type: GrantFiled: March 25, 2016Date of Patent: October 10, 2017Assignee: Samsung Electronics Co., Ltd.Inventors: Ajeet Kumar Singh, Anand Sudhakar Chiddarwar, Arzad Alam Kherani, Dae-kyu Choi, Midhun K, Sushanth Gajanan, Do-jun Byun, Sang-Jun Moon
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Publication number: 20170156102Abstract: A method of dynamically forming a service aware Bluetooth low energy (BLE) mesh network is provided. The method includes deriving service requirements for a BLE mesh service based on a unique identifier associated with the BLE mesh service, determining a BLE mesh service to be provided based on at least one BLE parameter, and dynamically forming a BLE mesh network based on the determined BLE mesh service, the service requirements and the at least one BLE parameter. The BLE mesh network is one of connection-oriented, or connection-less.Type: ApplicationFiled: March 25, 2016Publication date: June 1, 2017Inventors: Ajeet Kumar SINGH, Anand Sudhakar CHIDDARWAR, Arzad Alam KHERANI, Dae-kyu CHOI, Midhun K, Sushanth GAJANAN, Do-jun BYUN, Sang-Jun MOON
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Publication number: 20160366642Abstract: The present disclosure relates to a sensor network, Machine Type Communication (MTC), Machine-to-Machine (M2M) communication, and technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method and an apparatus for synchronizing communication between nodes in a bluetooth low energy (BLE) mesh network. In the network, a node is configured to generates a seed value based on at least one of own transmission parameter, wherein the seed value indicates next data advertisement instance of corresponding node. Further, the seed value is used for communicating with other nodes (i.e. 1-hop neighbor nodes) in the network. Based on data transfer requirements of the node, the node synchronizes own data transmission and reception settings, such that no two nodes transmit data at the same time.Type: ApplicationFiled: June 3, 2016Publication date: December 15, 2016Inventors: Ajeet Kumar SINGH, Arzad Alam KHERANI, Dae-Kyu CHOI, Anand Sudhakar CHIDDARWAR, Sang-Jun MOON
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Patent number: 7674824Abstract: A storage stable pharmaceutical composition comprising a solution of Oxaliplatin in water and a catalytic amount of a carbohydrate. A process for forming such pharmaceutical composition comprising dissolving a known amount of Oxaliplatin in water; adding an amount of carbohydrate in the range of 0.0010% to 0.05% w/v with respect to such solution; agitating the mixture to get clear solution; filtering it through a filter membrane under aseptic conditions; and filling the solution resulting into glass vials sealed with elastomeric stoppers and aluminium flip-off seals.Type: GrantFiled: September 5, 2006Date of Patent: March 9, 2010Assignee: Fresenius Kabi Oncology LimitedInventors: Satish Chandra Upadhyay, Manoj Kumar Pananchukunnath, Ajeet Kumar Singh, Deepti Jain, Deepak Judgelal Parshotamdas, Rama Mukharjee, Anand C Burman