Download PDF
N-iX > Case Studies > Web-based CCTV Solution for Enhanced Transport Connectivity
N-iX Logo

Web-based CCTV Solution for Enhanced Transport Connectivity

Technology Category
  • Application Infrastructure & Middleware - Middleware, SDKs & Libraries
  • Sensors - Camera / Video Systems
Applicable Industries
  • Construction & Infrastructure
  • Transportation
Applicable Functions
  • Logistics & Transportation
  • Product Research & Development
Use Cases
  • Autonomous Transport Systems
  • Vehicle-to-Infrastructure
The Challenge

The client, a leading global provider of integrated connectivity solutions for public transport, wanted to expand their services by creating a web-based CCTV solution for transport surveillance. This was aimed at giving them a competitive edge over rivals who mostly used desktop or hybrid solutions. However, the client faced challenges in validating the feasibility, budget, and timelines of the project. They needed to define these aspects for the existing infrastructure before proceeding with the development of the web-based CCTV solution.

About The Customer

The client is a leading global provider of integrated connectivity solutions for public transport. Their multi-model connectivity platform is used by millions of passengers and thousands of vehicles daily, providing a wide range of applications such as Wi-Fi, onboard entertainment, remote transport monitoring, streaming video surveillance, and more. The client sought to expand their services and gain a competitive edge by developing a web-based CCTV solution for transport surveillance.

The Solution

N-iX Solution Group conducted a Product Discovery phase to validate the client's idea and provide a project roadmap with cost and time estimates. They created a Proof of Concept (PoC) to prove the feasibility of the client’s idea and ensure its successful delivery. The team developed the web-based CCTV solution from scratch using a microservices-based architecture. Key features of the solution included the ability to manually stop and start video and audio feeds, configure a video wall of up to 20 videos, open specific video streams in another tab, select and download parts of a video, and acquire information about the transport’s location. The team also designed the solution’s UI/UX using the client’s framework with UI components, considering the pain points and needs of the client’s customers.

Operational Impact

  • The client was able to validate their product idea and received a project roadmap with cost and time estimates. The solution architecture was designed and the conceptual design of core features was created. The web-based CCTV solution was developed from scratch and has been continuously improved and enhanced. The client was able to get ahead of the competition by offering a unique web-based CCTV solution. The solution's UI/UX design, which considered the pain points and needs of the client’s customers, ensured high customer satisfaction and retention.

Quantitative Benefit

  • The client received a clear vision, roadmap, time and cost estimates of their project idea, allowing them to move on to implementation.

  • The client obtained a working web-based CCTV solution, enabling them to get ahead of the competition.

  • The client ensured high customer satisfaction and retention by establishing excellent user experience with a UI/UX design that considered common user needs and pain points.

Related Case Studies.

Case Study
IoT System for Tunnel Construction
The Zenitaka Corporation ('Zenitaka') has two major business areas: its architectural business focuses on structures such as government buildings, office buildings, and commercial facilities, while its civil engineering business is targeted at structures such as tunnels, bridges and dams. Within these areas, there presented two issues that have always persisted in regard to the construction of mountain tunnels. These issues are 'improving safety" and "reducing energy consumption". Mountain tunnels construction requires a massive amount of electricity. This is because there are many kinds of electrical equipment being used day and night, including construction machinery, construction lighting, and ventilating fan. Despite this, the amount of power consumption is generally not tightly managed. In many cases, the exact amount of power consumption is only ascertained when the bill from the power company becomes available. Sometimes, corporations install demand-monitoring equipment to help curb the maximum power demanded. However, even in these cases, the devices only allow the total volume of power consumption to be ascertained, or they may issue warnings to prevent the contracted volume of power from being exceeded. In order to tackle the issue of reducing power consumption, it was first necessary to obtain an accurate breakdown of how much power was being used in each particular area. In other words, we needed to be able to visualize the amount of power being consumed. Safety, was also not being managed very rigorously. Even now, tunnel construction sites often use a 'name label' system for managing entry into the work site. Specifically, red labels with white reverse sides that bear the workers' names on both sides are displayed at the tunnel work site entrance. The workers themselves then flip the name label to the appropriate side when entering or exiting from the work site to indicate whether or not they are working inside the tunnel at any given time. If a worker forgets to flip his or her name label when entering or exiting from the tunnel, management cannot be performed effectively. In order to tackle the challenges mentioned above, Zenitaka decided to build a system that could improve the safety of tunnel construction as well as reduce the amount of power consumed. In other words, this new system would facilitate a clear picture of which workers were working in each location at the mountain tunnel construction site, as well as which processes were being carried out at those respective locations at any given time. The system would maintain the safety of all workers while also carefully controlling the electrical equipment to reduce unnecessary power consumption. Having decided on the concept, our next concern was whether there existed any kind of robust hardware that would not break down at the construction work site, that could move freely in response to changes in the working environment, and that could accurately detect workers and vehicles using radio frequency identification (RFID). Given that this system would involve many components that were new to Zenitaka, we decided to enlist the cooperation of E.I.Sol Co., Ltd. ('E.I.Sol') as our joint development partner, as they had provided us with a highly practical proposal.
Learn more
Case Study
Vehicle Fleet Analytics
Organizations frequently implement a maintenance strategy for their fleets of vehicles using a combination of time and usage based maintenance schedules. While effective as a whole, time and usage based schedules do not take into account driving patterns, environmental factors, and sensors currently deployed within the vehicle measuring crank voltage, ignition voltage, and acceleration, all of which have a significant influence on the overall health of the vehicle.In a typical fleet, a large percentage of road calls are related to electrical failure, with battery failure being a common cause. Battery failures result in unmet service agreement levels and costly re-adjustment of scheduled to provide replacement vehicles. To reduce the impact of unplanned maintenance, the transportation logistics company was interested in a trial of C3 Vehicle Fleet Analytics.
Learn more
© 2015-2024 IoT ONE Limited | Privacy Policy

Contact us

Let's talk!

* Required
* Required
* Required
* Invalid email address
By submitting this form, you agree that IoT ONE may contact you with insights and marketing messaging.
No thanks, I don't want to receive any marketing emails from IoT ONE.
Submit

Thank you for your message!
We will contact you soon.