AiMS- The New AI VMS for Advanced City Surveillance
Securing the safety of city surveillance including public transportation, such as preventing accidents occur at the railway stations and subway platforms, is the top priority of the staff who are used to choosing closed-circuit television (CCTV) in the past because of the limited choice and budget concerns.
However, this traditional video management technology makes operators waste a great time recognizing alarms both indoors and outdoors precisely, which results from its low image resolution and analysis accuracy. Similarly, the hit-and-runs usually take too much effort and time to filter the suspects and specific vehicles from video footage that is recorded by thousands of cameras around the corners.
Thanks to the advanced development of Artificial Intelligence in video analytics, SkyREC AiMS enables users with an ultra-intelligent experience at an economical cost to secure the safety of the people who live in the city.
SkyREC is dedicated to developing reliable video management and powerful video analytics, which utilizes the analytics data generated by AI deep learning models to improve overall city operations better including public transportation, which is one of the major living styles of modern humans.
AiMS and transportation systems can be unified and integrated on a high-speed network backbone to achieve live monitoring, accident handling, and emergency management to the government, the public transportation staff, and the police if there is any incident occurs.
In cases that we often hear in daily life, like the trespassers wandering on rail tracks or personal belongings (especially AirPods in recent years) failing down to the tracks, these typical transportation security accidents increase concerns on critical prevention because the significant threats not only cause losses on properties but also lead the public in danger from time to time.
The best way to prohibit transportation tragedies from passengers is to precisely recognize target objects including people and vehicles via security video systems, then instantly send alarms to the station staff in time.
SkyREC’s intelligence video management system fully fulfills the expectation. AiMS can detect and track objects in live video streams on Object Focus and offer correct real-time data analysis after using its powerful search engine Object Focus or Appearance Focus by easily setting search conditions, e.g. object types, or appearance features.
In a busy city or train station, AiMS can detect and analyze multiple objects at the same time on live monitoring of thousands of cameras to achieve the best protection in real-time. If there is an unusual presence of objects appearing on the tracks, such as a drunk person or a sedan crashing in, AiMS will immediately detect the abnormal by Artificial Intelligence which avoids possible false alarms and notify security officers or staff simultaneously to save more lives or reduce the damage.
Inside a city, besides rail and track-based transportation, public roads would require a higher level of video management systems to monitor the current traffic flow better and assist buses, cars, trucks, and various other forms of transportations to move safely and smoothly. For instance, hit-and-run crashes often happen along with different weather conditions, such as rain, low-light, and fog.
A robust video analytics solution prebuilt on the video management system can easily solve the problem. With one click, the fantastic result of simultaneously searching multiple objects in any zone of interest highlights the powerful capability of AiMS Object Search, which completes a search within seconds or even a millisecond. It is suitable for the initial investigation period under a situation with very limited clues to obtain more information about an event by the seamless recognition of various facial features, vehicle attributes, and environmental conditions with the AiMS intelligent search engine.
For example, the policemen investigate a hit & run crash while they know the location, time, and injured persons or a witness’s statement without details of the vehicles. By using Object Search, the police can narrow down the investigation range and find out the suspicious vehicles rapidly.
As soon as Object Search targets objects, Appearance Focus enables the police to search by the Apparel Recognition and Vehicle Recognition models, which are standard functions of this robust AI Video Management Software (VMS). Both models effectively navigate the police to lock down the criminals in seconds for further investigations.
Appearance Focus brings high accuracy and prompt response even if applied to adverse environmental conditions such as a low-light space. Because of the AI algorithm — powerful machine learning-based techniques on a massive dataset with labeled faces or objects, Apparel Recognition quickly pinpoints the object targeted by filtering physical descriptions, including clothing type, clothing color, accessories, face mask, gender, age, moving direction, posture, behavior.
Powered with leading technologies, Appearance Focus recognizes various vehicle types — even on moving vehicles — and compares them to a huge vehicle database. AiMS can log all vehicles that pass through a specified area, records an image of the vehicle, and notes the date and direction of each vehicle. As a result, all a user needs to do is to select the outlook of the target vehicle in seconds rather than spending large amounts of time, money, and human resources to check through all security videos to investigate accidents.
Moreover, a friendly User Interface features AiMS powerful intelligence accompanying a better user experience. In particular, AiMS enables users to mark suspicious images as bookmarks to refine the search result, which significantly benefits other video management applications based on apparel, face, and vehicle recognition.
With AiMS Behavior Focus, users can easily adjust the live view and playback layout when they need to look broader and deeper into the incidents by zooming out specific targets in the same area but with different timelines. To quickly restore the incident process, Behavior Focus synchronizes video playback for multiple objects by automatically revealing each behavior’s beginning and ending time on the time bar and simultaneously zooms in the details of each specific target. With Behavior Focus, the users can quickly figure out how the incident occurred for a while picture on the investigation.
Monitoring, controlling, and managing city security, public transportation, and vehicle fleets are critical to successful transportation management for public or commercial organizations. AiMS comes with various intelligent video analytics powered by AI to offer precise monitoring and maximum reduce the need for manual supervision. AiMS provides early notification to first responders enables police or security departments to quickly neutralize the threat and make their response actions more effective to protect the citizen they concern the most.
