Ground Robot for Alive Human Detection in Rescue Operations

Naeem, Farooq; Ilyas, Umar; Adeel, Muhammad; Jabbar, Sohail

doi:10.1109/iciibms.2018.8550003

Cited by 8 publications

(3 citation statements)

References 7 publications

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“…It sends the information related to the temperature of the surroundings and gas content present in the surroundings. [2] The presentation by Purnima G and Assistant Professor Aravind S was entitled "Alive Human Body Detection Using an Autonomous PC Controlled Rescue Robot", here the project used a Bluetooth and a GSM module for the communication which has a potential drawback because the Bluetooth module has a limited range and the services required for GSM is quite high compare to IOT. [3] A "Alive Human Body Detection System Using an Autonomous Mobile Rescue Robot" was presented by Sandeep Bhatia, Hardeep Singh, Nitin Kumar, in this paper they used image processing technique for identifying human and ultrasonic sensor for obstacle avoidance but there no health monitoring.…”

Section: Related Workmentioning

confidence: 99%

Alive Human Detection and Health Monitoring Using IOT Based Robot

Babu¹,

Reshma²,

Tejeswar³

et al. 2023

Advances in Transdisciplinary Engineering

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Every year number of deaths due to wars and some natural and manmade disasters are increasing. Due to this many people will get stuck and it is very time-consuming for the emergency rescue operators should come there and start the rescue operation till this process a person may lose their precious lives. In order to solve this problem firstly the ground robot moves in the open field in the affected area to find out the affected human being. Ultrasonic sensor is used to guide the robot if in case there are obstacles in the path. The low-cost camera sends live video continuously. The PIR sensor is used to finds motion in human beings. If there is any motion detected then the affected person then the robot asks victim to place their finger on the sensors so that the health parameters can be monitored. GPS sends the location of the corresponding victim. This information is sent through Wi-Fi transceiver to the Thing-speak app in the smartphone through IoT.

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Section: Related Workmentioning

confidence: 99%

Alive Human Detection and Health Monitoring Using IOT Based Robot

Babu¹,

Reshma²,

Tejeswar³

et al. 2023

Advances in Transdisciplinary Engineering

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“…Another example is temperature sensors on artificial intelligence robots, which help robots detect the environmental temperature. Through synchronous motility and sensory perception, robots can adapt to changing environments by actively responding to temperature and other stimuli [21][22][23][24] .…”

Section: Introductionmentioning

confidence: 99%

Optical whispering-gallery mode barcodes for high-precision and wide-range temperature measurements

2021

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Temperature is one of the most fundamental physical properties to characterize various physical, chemical, and biological processes. Even a slight change in temperature could have an impact on the status or dynamics of a system. Thus, there is a great need for high-precision and large-dynamic-range temperature measurements. Conventional temperature sensors encounter difficulties in high-precision thermal sensing on the submicron scale. Recently, optical whispering-gallery mode (WGM) sensors have shown promise for many sensing applications, such as thermal sensing, magnetic detection, and biosensing. However, despite their superior sensitivity, the conventional sensing method for WGM resonators relies on tracking the changes in a single mode, which limits the dynamic range constrained by the laser source that has to be fine-tuned in a timely manner to follow the selected mode during the measurement. Moreover, we cannot derive the actual temperature from the spectrum directly but rather derive a relative temperature change. Here, we demonstrate an optical WGM barcode technique involving simultaneous monitoring of the patterns of multiple modes that can provide a direct temperature readout from the spectrum. The measurement relies on the patterns of multiple modes in the WGM spectrum instead of the changes of a particular mode. It can provide us with more information than the single-mode spectrum, such as the precise measurement of actual temperatures. Leveraging the high sensitivity of WGMs and eliminating the need to monitor particular modes, this work lays the foundation for developing a high-performance temperature sensor with not only superior sensitivity but also a broad dynamic range.

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“…However, these finetuned models are not apt for real-time applications, since new categories of novel objects can be dynamically added during autonomous exploration, and the number of novel object categories often varies even within the tasks. In this case, re-fine-tuning the model with limited onboard computational resources whenever the novel classes are added is extremely inefficient for the time-starved exploration tasks such as search and rescue [7,[28][29][30].…”

Section: Introductionmentioning

confidence: 99%

AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration

Li¹,

Wang²,

Reddy³

et al. 2021

Preprint

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Few-shot object detection has rapidly progressed owing to the success of meta-learning strategies. However, the requirement of a fine-tuning stage in existing methods is timeconsuming and significantly hinders their usage in real-time applications such as autonomous exploration of low-power robots. To solve this problem, we present a brand new architecture, AirDet, which is free of fine-tuning by learning class agnostic relation with support images. Specifically, we propose a support-guided cross-scale (SCS) feature fusion network to generate object proposals, a global-local relation network (GLR) for shots aggregation, and a relation-based prototype embedding network (R-PEN) for precise localization. Exhaustive experiments are conducted on COCO and PASCAL VOC datasets, where surprisingly, AirDet achieves comparable or even better results than the exhaustively finetuned methods, reaching up to 40-60% improvements on the baseline. To our excitement, AirDet obtains favorable performance on multi-scale objects, especially the small ones. Furthermore, we present evaluation results on real-world exploration tests from the DARPA Subterranean Challenge, which strongly validate the feasibility of AirDet in robotics. The source code, pre-trained models, along with the real world data for exploration, will be made public.

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Ground Robot for Alive Human Detection in Rescue Operations

Cited by 8 publications

References 7 publications

Alive Human Detection and Health Monitoring Using IOT Based Robot

Alive Human Detection and Health Monitoring Using IOT Based Robot

Optical whispering-gallery mode barcodes for high-precision and wide-range temperature measurements

AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration

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