Urban road traffic safety is an important branch of urban public traffic safety. The capturing system based on 5G router solves the networking difficulties.
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With the gradual progress of urbanization in China, the number of urban high-rise buildings continues to grow, and the elevator has become an irreplaceable means of transport for urban vertical transportation. According to incomplete statistics, as of the end of 2013, the total installed domestic elevator has more than 2.8 million units, and is also continuing to grow. In recent years, frequent elevator accidents have aroused the concern of all walks of life on elevator operation safety. The reason is that, in the past, the operation and maintenance management system of elevators relying on manpower can no longer meet the current situation of the increasing number of aging elevators.
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This document proposes an image processing based real-time traffic control system with a GSM interface. A camera mounted on a DC motor would capture images of the road to estimate traffic density. MATLAB would process the images to determine the covered vehicle area and assign a light sequence duration for each road accordingly. An ARM7 controller would control the light sequences and motor. A GSM module would allow emergency vehicles to trigger a light priority by sending an SMS message to receivers at intersections. The system aims to reduce congestion compared to traditional fixed-timing traffic lights.
This article is talking about the Application of ZigBee antenna in urban smart lighting. We have customers who are using our Zigbee antennas for the smart street lights.
Urban street lighting can be roughly divided into two categories: traditional street lighting systems and smart street lighting systems.
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This document describes an IOT-based system to automatically detect vehicle accidents and track the location to provide emergency assistance. The system uses MEMS sensors to detect vibrations during an accident and ultrasonic sensors to calculate distance. When an accident is detected, the microcontroller processes the sensor data and sends an alert message via GSM module containing the location coordinates, time, and angle of the accident. This information is transmitted to emergency responders and the vehicle owner's family to help provide timely medical assistance to accident victims.
The remote comprehensive monitoring system of earthquake monitoring station based on dual sim 5g router can effectively give earthquake early warning and reduce the major harm caused by earthquake.
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1. The document describes a Raspberry Pi-based security system that uses a CCTV camera to detect accidents on roadways in real-time and automatically sends alerts to ambulances.
2. The system analyzes video from the CCTV camera using computer vision techniques to detect accidents. When an accident is detected, it sends an alert message via GSM/GPRS to notify ambulance services.
3. The system aims to reduce response times for accidents by automating detection and alert compared to passive CCTV monitoring, in order to save lives.
WiMax technology set up a wireless elevator fault monitoring and alarm system...Antenna Manufacturer Coco
With the gradual progress of urbanization in China, the number of urban high-rise buildings continues to grow, and the elevator has become an irreplaceable means of transport for urban vertical transportation. According to incomplete statistics, as of the end of 2013, the total installed domestic elevator has more than 2.8 million units, and is also continuing to grow. In recent years, frequent elevator accidents have aroused the concern of all walks of life on elevator operation safety. The reason is that, in the past, the operation and maintenance management system of elevators relying on manpower can no longer meet the current situation of the increasing number of aging elevators.
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This document proposes an image processing based real-time traffic control system with a GSM interface. A camera mounted on a DC motor would capture images of the road to estimate traffic density. MATLAB would process the images to determine the covered vehicle area and assign a light sequence duration for each road accordingly. An ARM7 controller would control the light sequences and motor. A GSM module would allow emergency vehicles to trigger a light priority by sending an SMS message to receivers at intersections. The system aims to reduce congestion compared to traditional fixed-timing traffic lights.
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Urban street lighting can be roughly divided into two categories: traditional street lighting systems and smart street lighting systems.
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The remote comprehensive monitoring system of earthquake monitoring station based on dual sim 5g router can effectively give earthquake early warning and reduce the major harm caused by earthquake.
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2. The system analyzes video from the CCTV camera using computer vision techniques to detect accidents. When an accident is detected, it sends an alert message via GSM/GPRS to notify ambulance services.
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Sybian Technologies Pvt Ltd
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DOTNET(All Domains)
ANDROID
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VLSI
MATLAB
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Abstract, Diagrams, Review Details, Relevant Materials, Presentation,
Supporting Documents, Software E-Books,
Software Development Standards & Procedure
E-Book, Theory Classes, Lab Working Programs, Project Design & Implementation
24/7 lab session
Final Year Projects For BE,ME,B.Sc,M.Sc,B.Tech,BCA,MCA
PROJECT DOMAIN:
Cloud Computing
Networking
Network Security
PARALLEL AND DISTRIBUTED SYSTEM
Data Mining
Mobile Computing
Service Computing
Software Engineering
Image Processing
Bio Medical / Medical Imaging
Contact Details:
Sybian Technologies Pvt Ltd,
No,33/10 Meenakshi Sundaram Building,
Sivaji Street,
(Near T.nagar Bus Terminus)
T.Nagar,
Chennai-600 017
Ph:044 42070551
Mobile No:9790877889,9003254624,7708845605
Mail Id:sybianprojects@gmail.com,sunbeamvijay@yahoo.com
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Sybian Technologies Pvt Ltd
Final Year Projects & Real Time live Projects
JAVA(All Domains)
DOTNET(All Domains)
ANDROID
EMBEDDED
VLSI
MATLAB
Project Support
Abstract, Diagrams, Review Details, Relevant Materials, Presentation,
Supporting Documents, Software E-Books,
Software Development Standards & Procedure
E-Book, Theory Classes, Lab Working Programs, Project Design & Implementation
24/7 lab session
Final Year Projects For BE,ME,B.Sc,M.Sc,B.Tech,BCA,MCA
PROJECT DOMAIN:
Cloud Computing
Networking
Network Security
PARALLEL AND DISTRIBUTED SYSTEM
Data Mining
Mobile Computing
Service Computing
Software Engineering
Image Processing
Bio Medical / Medical Imaging
Contact Details:
Sybian Technologies Pvt Ltd,
No,33/10 Meenakshi Sundaram Building,
Sivaji Street,
(Near T.nagar Bus Terminus)
T.Nagar,
Chennai-600 017
Ph:044 42070551
Mobile No:9790877889,9003254624,7708845605
Mail Id:sybianprojects@gmail.com,sunbeamvijay@yahoo.com
Vehicle Theft Detection and Tracking Based on GSM and GPSIRJET Journal
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Review on Tunnel Field Effect Transistors (TFET)IRJET Journal
This document summarizes a vehicle theft detection and tracking system that uses GPS and GSM technologies. The system constantly monitors the location of a vehicle using GPS and reports the status to an authorized user via GSM upon request. If a theft is detected, the user can send an SMS message to the microcontroller to stop the engine. To restart the vehicle, the authorized user must send a password to the microcontroller via SMS. The system provides vehicle tracking, theft prevention and retrieval at a low cost.
This document proposes a vehicle tracking and monitoring system using wireless technology like GPS and GSM to provide security, safety, and fleet management. The system tracks the vehicle's location through GPS and sends alerts by SMS. It also detects driver drowsiness using IR sensors and alerts the user, potentially slowing the vehicle. Additionally, it alerts users if they run a red traffic light based on RF sensors. The system aims to reduce costs and manpower needs for vehicle tracking while improving safety.
This document describes a vehicle accident prevention system that uses various sensors and components to prevent accidents by enforcing traffic rules. It monitors vehicles using a USB camera and automatically issues penalties if rules are violated, such as blocking lanes, running red lights, or speeding. It also prevents drunk driving by not allowing the car to start if the driver is intoxicated. The system is intended to improve traffic safety and discipline on the road. It uses components like a NodeMCU microcontroller, alcohol sensor, motor driver, GSM module and camera to detect violations and send alerts. The researchers conclude that this kind of system can help reduce accidents by enforcing rules and increasing road safety.
PROJECTS CENTER IN TAMBARAM MAASTECH-ECE PROJECTS TAMBARAMASHOKKUMAR RAMAR
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IRJET- Smart Traffic Control System using Image ProcessingIRJET Journal
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Smart Algorithm for Traffic Congestion and ControlIRJET Journal
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IRJET- Density based Traffic Controller with Defaulter Identification using IoTIRJET Journal
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The IoT Terminal adds connectivity to existing infrastructure. The IoT terminal is an IoT device to connect the sensing network layer and the transmission network layer to implement the acquisition data and send data to the network layer.
This allows remote control and maintenance of existing systems. It is responsible for data acquisition, initial processing, encryption, transmission, and other functions. Furthermore, it enables new applications by adding local wireless communication with the user.
SMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOTIRJET Journal
The document proposes a smart solution using IoT technology to reduce heavy traffic jams. The system uses camera sensors to detect traffic density and transmits this data to a Raspberry Pi. The Raspberry Pi processes the images to determine traffic density and displays this information on an LCD screen. The system is also connected to the cloud to store and analyze traffic data. The results show the system can accurately detect traffic density and provide real-time updates to help reduce congestion.
IRJET- AI Based Traffic Signal Control SystemIRJET Journal
This document proposes an AI-based traffic signal control system using image processing and Arduino. Currently, traffic light systems have fixed timing that does not adapt to real-time traffic conditions, leading to congestion. The proposed system uses a camera and image processing on an Arduino board to count vehicles in real-time and adjust traffic light timing dynamically based on current traffic density. This allows the lights to flow more vehicles through intersections efficiently. The system is designed to solve problems like congestion and help emergency vehicles pass through more quickly.
This document provides an overview of 3G and 4G mobile data communication technologies. It begins with an introduction to the different generations of mobile data (1G-4G) and their key technologies. It then discusses 3G services and limitations. The remainder of the document focuses on 4G technologies, including applications like virtual presence, sensors in public vehicles and traffic control. It also covers the technologies used in 4G like OFDM and MIMO. The document concludes by comparing the main differences between 3G and 4G.
IRJET- Ambulance Detection and Traffic Control SystemIRJET Journal
This document proposes an ambulance detection and traffic control system to reduce traffic congestion delays for emergency vehicles. The system uses a GPS module in ambulances to transmit location data via WiFi to the cloud. This data is then sent to smart traffic control systems equipped with Raspberry Pi computers. The traffic control systems can dynamically adjust traffic light timing based on ambulance locations to provide clear routes for emergency vehicles and reduce response times. The low-cost system has the potential to be implemented across an entire city and decrease casualties from congested traffic situations.
Intelligent Car System for Accident PreventionIRJET Journal
This document describes a system to help prevent car accidents by detecting driver fatigue and controlling the vehicle's speed. The system uses several sensors like ultrasonic sensors, RFID, and GPS/GSM modules. It can detect obstacles using ultrasonic sensors and automatically apply the brakes. It also monitors the driver for signs of fatigue and controls the speed of the vehicle accordingly to help avoid accidents. The system aims to make driving safer by helping drivers maintain awareness and control of the vehicle.
IRJET - Traffic Signal Automation using Spike Road BlockIRJET Journal
This document describes a system to automate traffic signals and road blockers using spikes on the road. The system uses sensors to detect vehicle speed and traffic density. It then dynamically controls the timing of traffic signals based on this sensor data. When the signal is red, a barrier gate closes and spikes emerge on the road to block traffic and enforce the signal. The system is intended to reduce traffic violations and minimize accidents. It collects sensor data, retrieves nearby police locations from a database, and can generate alerts if needed. The system aims to help control traffic flow and reduce congestion problems.
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Sybian Technologies Pvt Ltd
Final Year Projects & Real Time live Projects
JAVA(All Domains)
DOTNET(All Domains)
ANDROID
EMBEDDED
VLSI
MATLAB
Project Support
Abstract, Diagrams, Review Details, Relevant Materials, Presentation,
Supporting Documents, Software E-Books,
Software Development Standards & Procedure
E-Book, Theory Classes, Lab Working Programs, Project Design & Implementation
24/7 lab session
Final Year Projects For BE,ME,B.Sc,M.Sc,B.Tech,BCA,MCA
PROJECT DOMAIN:
Cloud Computing
Networking
Network Security
PARALLEL AND DISTRIBUTED SYSTEM
Data Mining
Mobile Computing
Service Computing
Software Engineering
Image Processing
Bio Medical / Medical Imaging
Contact Details:
Sybian Technologies Pvt Ltd,
No,33/10 Meenakshi Sundaram Building,
Sivaji Street,
(Near T.nagar Bus Terminus)
T.Nagar,
Chennai-600 017
Ph:044 42070551
Mobile No:9790877889,9003254624,7708845605
Mail Id:sybianprojects@gmail.com,sunbeamvijay@yahoo.com
Leveraging Smartphone Cameras for Collaborative Road AdvisoriesMuthu Samy
This document discusses leveraging smartphone cameras mounted on windshields for collaborative road advisories. Specifically, it introduces SignalGuru, a service that uses cameras on mounted smartphones to detect and predict traffic signal schedules. This allows applications like Green Light Optimal Speed Advisory (GLOSA) to provide speed recommendations to avoid stops at red lights. SignalGuru was tested in two deployments and achieved accurate predictions within 0.66 seconds for fixed signals and 2.45 seconds for adaptive signals. Using GLOSA, vehicle fuel consumption was reduced by an average of 20.3% when drivers followed the speed recommendations.
Sybian Technologies Pvt Ltd
Final Year Projects & Real Time live Projects
JAVA(All Domains)
DOTNET(All Domains)
ANDROID
EMBEDDED
VLSI
MATLAB
Project Support
Abstract, Diagrams, Review Details, Relevant Materials, Presentation,
Supporting Documents, Software E-Books,
Software Development Standards & Procedure
E-Book, Theory Classes, Lab Working Programs, Project Design & Implementation
24/7 lab session
Final Year Projects For BE,ME,B.Sc,M.Sc,B.Tech,BCA,MCA
PROJECT DOMAIN:
Cloud Computing
Networking
Network Security
PARALLEL AND DISTRIBUTED SYSTEM
Data Mining
Mobile Computing
Service Computing
Software Engineering
Image Processing
Bio Medical / Medical Imaging
Contact Details:
Sybian Technologies Pvt Ltd,
No,33/10 Meenakshi Sundaram Building,
Sivaji Street,
(Near T.nagar Bus Terminus)
T.Nagar,
Chennai-600 017
Ph:044 42070551
Mobile No:9790877889,9003254624,7708845605
Mail Id:sybianprojects@gmail.com,sunbeamvijay@yahoo.com
Vehicle Theft Detection and Tracking Based on GSM and GPSIRJET Journal
This document summarizes a vehicle theft detection and tracking system that uses GPS and GSM technologies. The system continuously monitors the location of a vehicle using GPS and reports it to an authorized user via GSM upon request or if theft is detected. When theft is detected, the user can send an SMS message to stop the vehicle engine. To restart the engine, the authorized user must send a password to the microcontroller via SMS. This provides secure, reliable, and low-cost vehicle tracking and theft prevention.
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This document summarizes a vehicle theft detection and tracking system that uses GPS and GSM technologies. The system constantly monitors the location of a vehicle using GPS and reports the status to an authorized user via GSM upon request. If a theft is detected, the user can send an SMS message to the microcontroller to stop the engine. To restart the vehicle, the authorized user must send a password to the microcontroller via SMS. The system provides vehicle tracking, theft prevention and retrieval at a low cost.
This document proposes a vehicle tracking and monitoring system using wireless technology like GPS and GSM to provide security, safety, and fleet management. The system tracks the vehicle's location through GPS and sends alerts by SMS. It also detects driver drowsiness using IR sensors and alerts the user, potentially slowing the vehicle. Additionally, it alerts users if they run a red traffic light based on RF sensors. The system aims to reduce costs and manpower needs for vehicle tracking while improving safety.
This document describes a vehicle accident prevention system that uses various sensors and components to prevent accidents by enforcing traffic rules. It monitors vehicles using a USB camera and automatically issues penalties if rules are violated, such as blocking lanes, running red lights, or speeding. It also prevents drunk driving by not allowing the car to start if the driver is intoxicated. The system is intended to improve traffic safety and discipline on the road. It uses components like a NodeMCU microcontroller, alcohol sensor, motor driver, GSM module and camera to detect violations and send alerts. The researchers conclude that this kind of system can help reduce accidents by enforcing rules and increasing road safety.
PROJECTS CENTER IN TAMBARAM MAASTECH-ECE PROJECTS TAMBARAMASHOKKUMAR RAMAR
This document discusses the development of an intelligent bus query system using ZigBee technology. The proposed system uses an 8051 microcontroller to collect GPS and sensor data and transmit it wirelessly via ZigBee to track bus locations in real-time. This allows users to easily choose routes and track transfers, improving travel efficiency. The existing system had no vehicle tracking or theft detection. The proposed system addresses this with acceleration and angle sensors, GPS, and ZigBee modules to automatically monitor location and alerts in cases like accidents.
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This document proposes a smart traffic control system using image processing. It aims to detect vehicles through camera images instead of using electronic sensors to better manage traffic. The system would involve installing a camera at an intersection to capture image sequences of vehicle traffic. Digital image processing techniques would then be used to analyze the images to detect vehicles and determine traffic conditions. Based on the traffic conditions identified, the traffic light timing would be controlled accordingly. The goal is to develop a more cost-effective traffic management system compared to traditional sensor-based methods. It provides background on increasing urban traffic problems and outlines the proposed image processing methodology which includes steps like RGB to grayscale conversion, image resizing, enhancement, and background subtraction to detect vehicles in images.
Smart Algorithm for Traffic Congestion and ControlIRJET Journal
This document presents a smart algorithm for traffic congestion control using video processing and RFID sensors. A camera installed at an intersection records live traffic density and counts vehicles in video frames. When the traffic density reaches a threshold, the traffic light signals are adjusted accordingly. RFID sensors and a reader are also used to identify vehicles that break traffic rules and go through red lights. The system aims to more intelligently control traffic lights based on real-time traffic conditions compared to traditional fixed-time systems, in order to reduce congestion and wasted time. It analyzes the literature on existing traffic management systems and the advantages of the proposed smart algorithm approach.
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The IoT Terminal adds connectivity to existing infrastructure. The IoT terminal is an IoT device to connect the sensing network layer and the transmission network layer to implement the acquisition data and send data to the network layer.
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The document proposes a smart solution using IoT technology to reduce heavy traffic jams. The system uses camera sensors to detect traffic density and transmits this data to a Raspberry Pi. The Raspberry Pi processes the images to determine traffic density and displays this information on an LCD screen. The system is also connected to the cloud to store and analyze traffic data. The results show the system can accurately detect traffic density and provide real-time updates to help reduce congestion.
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This document proposes an ambulance detection and traffic control system to reduce traffic congestion delays for emergency vehicles. The system uses a GPS module in ambulances to transmit location data via WiFi to the cloud. This data is then sent to smart traffic control systems equipped with Raspberry Pi computers. The traffic control systems can dynamically adjust traffic light timing based on ambulance locations to provide clear routes for emergency vehicles and reduce response times. The low-cost system has the potential to be implemented across an entire city and decrease casualties from congested traffic situations.
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This document describes a system to help prevent car accidents by detecting driver fatigue and controlling the vehicle's speed. The system uses several sensors like ultrasonic sensors, RFID, and GPS/GSM modules. It can detect obstacles using ultrasonic sensors and automatically apply the brakes. It also monitors the driver for signs of fatigue and controls the speed of the vehicle accordingly to help avoid accidents. The system aims to make driving safer by helping drivers maintain awareness and control of the vehicle.
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This document describes a system to automate traffic signals and road blockers using spikes on the road. The system uses sensors to detect vehicle speed and traffic density. It then dynamically controls the timing of traffic signals based on this sensor data. When the signal is red, a barrier gate closes and spikes emerge on the road to block traffic and enforce the signal. The system is intended to reduce traffic violations and minimize accidents. It collects sensor data, retrieves nearby police locations from a database, and can generate alerts if needed. The system aims to help control traffic flow and reduce congestion problems.
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Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Introduction for traffic violation capturing system
1. Introduction for traffic violation capturing system
The capturing system based on 5G router solves the networking difficulties. For
example, it is difficult to pull optical fiber, difficult to check and manage, difficult to
construct wired network, and high operating cost.
Urban road traffic safety is an important branch of urban public traffic safety. With
the widespread application of motor vehicles, all kinds of illegal incidents related to
motor vehicles begin to breed and spread, and the derived road traffic safety
problems are increasingly becoming an important constraint factor in social and
economic development.
Collection, statistics and analysis of road traffic accidents, it is found that most of the
traffic accidents are caused by motor vehicles running illegally, especially in the
intersection or sections of the accident caused by motor vehicles running red light
accounted for the largest proportion.
The construction of an automatic record system for running red lights, continuous
automatic detection and recording of motor vehicles running red lights, and
punishment of motor vehicles running red lights through legislation are important
means to curb motor vehicles running red lights, thus improving the urban road
traffic environment and enhancing the safety factor of public travel.
At present, there are some pain points in the industry, for example, the distance
between the optical fiber is long, which is not suitable for pulling. ; The number is
large and the troubleshooting management is difficult. ; It is difficult to construct the
wired network and the operation cost is high.
The capturing system is mainly composed of capturing machine and light supplement
lamp. The capturing machine is connected with 4G/5G wireless routing of East Use
Technology through network cable, and the captured pictures are transmitted to the
traffic police department in real time through wireless network. The traffic police
system monitors and manages all the capturing points on the scene through
network.
The system consists of three parts:
Front end: the front end intelligent capturing system is mainly composed of hd
cameras set up at the scene.
Communication: Consisting of 5G router modems, images captured at the scene are
sent to the traffic police system through high-speed 4G/5G wireless network through
2. 5G devices.
Background: the traffic police system will sort out and analyze the pictures sent back
from the scene, and deal with the corresponding violations accordingly.
The system features and advantages: solve the networking problem, not constrained
by geographical conditions. ; Manage and monitor onsite devices in a unified manner
through wireless. ; Wireless wiring, low operating costs. ; High specification industrial
design, cold and high temperature resistance, stable and reliable.
Nowadays, E-Lins 5G router H900f and H68f are available. They can work in many
areas globly with simply just a sim card.
They support multiple working modes such as WIFI AP, AP Client, repeater, repeater
bridge and WDS (optional); VPN like IPsec, PPTP, L2TP are also supported.
For more information, please visit E-Lins Technology!