Computer Vision-Based Inspection: Remote Areas
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.
To identify and understand insights regarding what the main two areas are that these applications are monitoring and what the three main challenges are for these monitoring applications in order to define a go-to-market strategy.
To determine the competitive landscape of these top ten applications that will focus on strengths, weaknesses, and readiness to adopt AI-based vision tracking in order to define a go-to-market strategy.
Our background research on monitoring applications in remote areas revealed insights. Here are some key pieces of information we found:
Monitoring Applications in Remote Areas:
- Flir offers an All-Terrain Self-Contained Mobile Surveillance System, Long range HD Multi-spectral Surveillance System (Single LRU), Long-Range High Resolution Target Detection Radar System, and Thermal Binocular with EO, Laser Rangefinder and Laser Pointer for border monitoring.
- Controp offers Compact Day/Night HD Observation System for Maritime Applications, High Performance Multi Sensor Stabilized HD Payload System for Maritime Applications, and Thermal Imaging EO/IR cameras for gas and oil rigs security.
- HGH offers infrared solutions for offshore platform security, border surveillance, and airfield security monitoring. "The system uses a continuously rotating head to produce 360 degree images and detect and track intrusions in real time: essentially the Spynel cameras operate like radars with eyes."
- Eyetrax offers "the agriculture market the farm security system solutions it needs, thanks to our wireless, cloud-based technology."
Proposed next steps:
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