Computer Vision-Based Inspection

Goals

To compile a list of the top 10 applications according to market size and adoption time for AI-based vision tracking that require human personnel or traditional cameras for monitoring activities in remote areas (e.g. could be construction sites, farmlands, offshore rigs, remote O&G sites, national borders, mining sites, onboard ships, monitoring debris on airport runways... etc so on, where monitoring is outdoors, not easy access to infrastructure) in order to define a go-to-market strategy.

Early Findings

Results of Initial Research

Our initial research indicates that the spend of any organization on surveillance will be extremely difficult to find without pouring through annual reports, and then it is doubtful that surveillance would be an individual line item. When looking at small businesses such as farming and warehouses, they are not required to report any of this information, therefore making it impossible to provide the top then industries by spend.

The Video Surveillance Market

Although the video surveillance is not the exact market, there are many parallels that make it a good fit as a proxy for insights and further research.
  • A video surveillance system can be used in nearly every environment. Security and surveillance are required for all organizations worldwide. Governments, enterprises, financial institutions, and healthcare organizations alike are all expected and required to have a certain level of security and monitoring measures. Consequently, there has been a drastic increase in the demand for security applications like video surveillance to monitor and record borders, ports, corporate houses, transportation infrastructure, educational institutes, buildings, public places, and others, which is expected to drive the video surveillance market growth globally.
  • Based on End User, the market is segmented into Commercial, Military & Defense, Infrastructural, Residential and Others.
  • In 2018, the global video surveillance market size was valued at USD 38.9 billion and estimated to project a value of USD 100 billion by 2025, registering a CAGR of 15.4%during the forecast period. The driving factors influencing the global video surveillance market include threat activities movements and rising demand for security observation products on account of rising criminal.
  • Leading players of the global video surveillance market include Bosch Security Systems Incorporation, Hikvision Digital Technology Company Limited, FLIR Systems Incorporation, Avigilon Corporaton, and Hangzhou.

Use Examples/Industries

  • The Transportation Security Administration (TSA) is pursuing a project to overhaul and reformulate airport security nationwide. Called DARMS, short for Dynamic Aviation Risk Management Solution, the smart system will integrate information across the aviation sector to tailor a personalized security profile for each person, on a per-flight basis. A smart tunnel will checks people’s security while they walk through it, eliminating the need for inefficient security lines. DARMS is intended to be introduced into US airports in four to 10 years.
  • Many cities have already added drones for surveillance of potential criminal activity, and while the debate about ethics and rules and regulations will stay strong, it seems likely that smart drones able to detect crimes-in-the-making and alert authorities will be used in the future to reinforce security at major crossways such as ports, airports, industrial facilities, and others.
  • Artificial intelligence (AI) holds the promise of spurring innovation in the home security and monitoring sector, which in turn could attract a broader base of customers, according to Parks. Pairing AI with machine learning could lead to a reduction in false alarms, better detection of anomalous activity and performance of video analytics and better video verification and surveillance.

Companies

  • Evolv Technology claims to offer a physical security system that consists of the Evolve Edge personnel threat screening machine that works with the Evolv Pinpoint automated facial recognition application. The company says its screening machine’s physical design allows 600 to 900 people to walk through per hour, or at least one person per second. The company claims to eliminate bottlenecks and long lines without the need for customers to stop and pose or empty pockets. Evolv Technology claims their machines could be used at airports, major events, schools, commercial and business buildings, government offices, and other public places. The wheels at the bottom of the machine allow security users to easily move it in order to create checkpoints.
  • Shield AI offers Hivemind Nova, a quadcopter-type drone that they say helps military or security personnel in surveillance, reconnaissance or clearing operations. The drone is driven by Hivemind, a machine learning application which the company claims enables robots or machines—including unmanned ground, aerial, and underwater vehicles —to see and learn about the world.
  • Deep Sentinel offers a namesake home security system that integrates wireless cameras, predictive AI, and human intervention. The company claims the system uses a combination of motion detection, human-body detection, and facial recognition technologies in its image and video object detection and recognition functions.
  • Digital Barriers offers AI-driven physical security systems for energy and utilities clients, such as oil and gas, solar farms, electrical substations and pylons, water utility sites, and nuclear power facilities. The company’s EdgeVis Shield is a solution that Digital Barriers claims to integrate multiple sensors, such as seismic ground sensors, wireless optical and thermal cameras, and video analytics to give users a single view of the area surveyed. The system is triggered when it detects intrusion patterns. The intrusion is captured on live video over a wireless network to alert the security personnel at the facility. These patterns include noting when an individual or vehicle enters a prohibited area or the wrong sequence and then remains in a prohibited area longer than authorized.
  • Agent Video Intelligence offers InnoVi, a cloud-based software that the company claims uses video analytics driven by deep learning algorithms. The company reports that InnoVi is suited to central monitoring systems and surveillance of smart cities. Agent Video Intelligence claims that, using video footage captured by the smart cameras, the algorithms have the capability to separate and classify people, animals, vehicles, and static objects to ensure accurate detection and low false alarm rates.

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