DESCRIPTION
Computer vision for people flow analysis in an underground metro station

One of our customers, a CCTV system integration company, requested us to develop a system to count people and measure people flow in underground metro. The purpose of the system is to assist platform load and passenger queues. The video surveillance system had been already deployed there and RTSoft should propose a hardware and software add-on by a very competitive price. 

RTSoft helps customers to build AI + IoT applications through integration of computer vision, data analysis and augmented reality.  Our experience in embedded platforms (Intel Movidius, Nvidia Jetson, Google Coral) and dedicated ML frameworks (Openvino, TensorRT, TFLite) made it possible to fulfill this project.

System features:

  • Visitors headcount

  • Crowd headcount

  • Queue detector

  • GDPRA compliance 


Key facts
  • On premise video server
  • AI/ML software: RTSoft OMGE
  • Software recognition accuracy
  • OTA software updates: RTSoft IoT Rollouts
Solution

In the early stage of the project RTSoft built people recognition algorithms and tested them onsite on several CCTV cameras in the collaboration with cusomter’s technical team to identify possible set of use cases and draft requirement for the solution. Since the end-solution was supposed to be implemented based on RTSoft OMGE proprietary platform it was quite a simple task to rapidly design data flows, develop and bring up the system and then scale it to multiple CCTV cameras. Then RTSoft developed a deployment ready docker with all key components inside:

  • Video frames capture

  • People recognition

  • Graphical user interface 

  • Target reports and statictis

  • OTA software updates.

Finally, the system was successfully installed and passed through performance, load balancing and acceptance tests and was acquired as a software product by our customer.


BENEFITS
Valuable reports and sensitive data protection
GDPR compliant people recognition
On-premise solution, fast deployment and scaling
High accuracy of video recognition algorithms
RTSoft IoT Rollouts
Remote management of all system components
TECHNOLOGIES
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    [NAME] => Computer vision for people flow analysis in an underground metro station
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Solution

In the early stage of the project RTSoft built people recognition algorithms and tested them onsite on several CCTV cameras in the collaboration with cusomter’s technical team to identify possible set of use cases and draft requirement for the solution. Since the end-solution was supposed to be implemented based on RTSoft OMGE proprietary platform it was quite a simple task to rapidly design data flows, develop and bring up the system and then scale it to multiple CCTV cameras. Then RTSoft developed a deployment ready docker with all key components inside:

  • Video frames capture

  • People recognition

  • Graphical user interface 

  • Target reports and statictis

  • OTA software updates.

Finally, the system was successfully installed and passed through performance, load balancing and acceptance tests and was acquired as a software product by our customer.


[~DETAIL_TEXT] =>
Solution

In the early stage of the project RTSoft built people recognition algorithms and tested them onsite on several CCTV cameras in the collaboration with cusomter’s technical team to identify possible set of use cases and draft requirement for the solution. Since the end-solution was supposed to be implemented based on RTSoft OMGE proprietary platform it was quite a simple task to rapidly design data flows, develop and bring up the system and then scale it to multiple CCTV cameras. Then RTSoft developed a deployment ready docker with all key components inside:

  • Video frames capture

  • People recognition

  • Graphical user interface 

  • Target reports and statictis

  • OTA software updates.

Finally, the system was successfully installed and passed through performance, load balancing and acceptance tests and was acquired as a software product by our customer.


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One of our customers, a CCTV system integration company, requested us to develop a system to count people and measure people flow in underground metro. The purpose of the system is to assist platform load and passenger queues. The video surveillance system had been already deployed there and RTSoft should propose a hardware and software add-on by a very competitive price. 

RTSoft helps customers to build AI + IoT applications through integration of computer vision, data analysis and augmented reality.  Our experience in embedded platforms (Intel Movidius, Nvidia Jetson, Google Coral) and dedicated ML frameworks (Openvino, TensorRT, TFLite) made it possible to fulfill this project.

System features:

  • Visitors headcount

  • Crowd headcount

  • Queue detector

  • GDPRA compliance 


[~PREVIEW_TEXT] =>

One of our customers, a CCTV system integration company, requested us to develop a system to count people and measure people flow in underground metro. The purpose of the system is to assist platform load and passenger queues. The video surveillance system had been already deployed there and RTSoft should propose a hardware and software add-on by a very competitive price. 

RTSoft helps customers to build AI + IoT applications through integration of computer vision, data analysis and augmented reality.  Our experience in embedded platforms (Intel Movidius, Nvidia Jetson, Google Coral) and dedicated ML frameworks (Openvino, TensorRT, TFLite) made it possible to fulfill this project.

System features:

  • Visitors headcount

  • Crowd headcount

  • Queue detector

  • GDPRA compliance 


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  • AI/ML software: RTSoft OMGE
  • Software recognition accuracy
  • OTA software updates: RTSoft IoT Rollouts
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    GDPR compliant people recognition
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    High accuracy of video recognition algorithms
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    RTSoft IoT Rollouts
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    Remote management of all system components
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  • AI/ML software: RTSoft OMGE
  • Software recognition accuracy
  • OTA software updates: RTSoft IoT Rollouts
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  • AI/ML software: RTSoft OMGE
  • Software recognition accuracy
  • OTA software updates: RTSoft IoT Rollouts
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    On-premise solution, fast deployment and scaling
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    High accuracy of video recognition algorithms
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    RTSoft IoT Rollouts
    [5] =>
    Remote management of all system components
    ) ) ) [IBLOCK] => Array ( [ID] => 10 [~ID] => 10 [TIMESTAMP_X] => 02/01/2021 12:25:02 pm [~TIMESTAMP_X] => 02/01/2021 12:25:02 pm [IBLOCK_TYPE_ID] => projects [~IBLOCK_TYPE_ID] => projects [LID] => s2 [~LID] => s2 [CODE] => projects_en [~CODE] => projects_en [NAME] => Проекты_EN [~NAME] => Проекты_EN [ACTIVE] => Y [~ACTIVE] => Y [SORT] => 500 [~SORT] => 500 [LIST_PAGE_URL] => /our-work/index.php?ID=10 [~LIST_PAGE_URL] => /our-work/index.php?ID=10 [DETAIL_PAGE_URL] => #SITE_DIR#/our-work/#ELEMENT_ID#/ [~DETAIL_PAGE_URL] => #SITE_DIR#/our-work/#ELEMENT_ID#/ [SECTION_PAGE_URL] => #SITE_DIR#/our-work/list.php?SECTION_ID=#SECTION_ID# [~SECTION_PAGE_URL] => #SITE_DIR#/our-work/list.php?SECTION_ID=#SECTION_ID# [CANONICAL_PAGE_URL] => [~CANONICAL_PAGE_URL] => [PICTURE] => [~PICTURE] => [DESCRIPTION] => [~DESCRIPTION] => [DESCRIPTION_TYPE] => text [~DESCRIPTION_TYPE] => text [RSS_TTL] => 24 [~RSS_TTL] => 24 [RSS_ACTIVE] => Y [~RSS_ACTIVE] => Y [RSS_FILE_ACTIVE] => N [~RSS_FILE_ACTIVE] => N [RSS_FILE_LIMIT] => [~RSS_FILE_LIMIT] => [RSS_FILE_DAYS] => [~RSS_FILE_DAYS] => [RSS_YANDEX_ACTIVE] => N [~RSS_YANDEX_ACTIVE] => N [XML_ID] => [~XML_ID] => [TMP_ID] => [~TMP_ID] => [INDEX_ELEMENT] => Y [~INDEX_ELEMENT] => Y [INDEX_SECTION] => Y [~INDEX_SECTION] => Y [WORKFLOW] => N [~WORKFLOW] => N [BIZPROC] => N [~BIZPROC] => N [SECTION_CHOOSER] => L [~SECTION_CHOOSER] => L [LIST_MODE] => [~LIST_MODE] => [RIGHTS_MODE] => S [~RIGHTS_MODE] => S [SECTION_PROPERTY] => N [~SECTION_PROPERTY] => N [PROPERTY_INDEX] => N [~PROPERTY_INDEX] => N [VERSION] => 1 [~VERSION] => 1 [LAST_CONV_ELEMENT] => 0 [~LAST_CONV_ELEMENT] => 0 [SOCNET_GROUP_ID] => [~SOCNET_GROUP_ID] => [EDIT_FILE_BEFORE] => [~EDIT_FILE_BEFORE] => [EDIT_FILE_AFTER] => [~EDIT_FILE_AFTER] => [SECTIONS_NAME] => Разделы [~SECTIONS_NAME] => Разделы [SECTION_NAME] => Раздел [~SECTION_NAME] => Раздел [ELEMENTS_NAME] => Элементы [~ELEMENTS_NAME] => Элементы [ELEMENT_NAME] => Элемент [~ELEMENT_NAME] => Элемент [EXTERNAL_ID] => [~EXTERNAL_ID] => [LANG_DIR] => / [~LANG_DIR] => / [SERVER_NAME] => rtsoft.de/ [~SERVER_NAME] => rtsoft.de/ ) [SECTION] => Array ( [PATH] => Array ( ) ) [SECTION_URL] => [META_TAGS] => Array ( [ELEMENT_CHAIN] => Computer vision for people flow analysis in an underground metro station [BROWSER_TITLE] => [KEYWORDS] => [DESCRIPTION] => ) )
    More projects
    OTA update for smart energy controllers

    This update system is a cloud solution designed to increase the efficiency of automatic deployment of new software versions across the entire fleet of Smart Meters, store and update software in the cloud, and swiftly eliminate software bugs and security holes.

    One of our partners, a prominent manufacturer of controllers and smart meters for power industry automation, oreder us to develop a software cloud solution for updating smart meter systems. This task is critical for managing a fleet of connected devices, either completely autonomous or not available for qualified on-site maintenance.

    System features

    The system is based on the RITMS UP2DATE platform created by RTSoft engineers. The platform allows users to update software swiftly, efficiently and reliably both in the global network and in corporate networks, including OEM partners.

    The solution contains the following main components:

    • An integrating and managing cloud component

    • Embedded software for remote devices 

    Computer vision for people flow analysis in an underground metro station

    One of our customers, a CCTV system integration company, requested us to develop a system to count people and measure people flow in underground metro. The purpose of the system is to assist platform load and passenger queues. The video surveillance system had been already deployed there and RTSoft should propose a hardware and software add-on by a very competitive price. 

    RTSoft helps customers to build AI + IoT applications through integration of computer vision, data analysis and augmented reality.  Our experience in embedded platforms (Intel Movidius, Nvidia Jetson, Google Coral) and dedicated ML frameworks (Openvino, TensorRT, TFLite) made it possible to fulfill this project.

    System features:

    • Visitors headcount

    • Crowd headcount

    • Queue detector

    • GDPRA compliance 


    OTA update for PoS Terminals
    RTSoft has been tasked by major IT provider of automation systems for Retail industry to develop a solution for remote update of software (operating system and/or application) for a family of devices PoS terminals.

    The solution should allow an automatic rollback in case of update failures such as connectivity problem or unexpected power loss, implement versioning and secure delivery mechanisms, and be customizable for future integrations.

    Additionally, the solution should include a cloud back-end service for device and software repository, content delivery and rollout management.

    The target devices’s characteristics are:

    • SoC: Mediatek MT7688
    • Flash memory: 64MB
    • Operating system: Linux (OpenWRT)

    STM32MP1 customized firmware manages smart robotics operations

    RTSoft designed and developed the firmware for a smart robotics controller that makes the controller an excellent platform for educational and business uses. 

    The system software implements the abstraction interface for work with various sensors and actuators like ultrasonic, camera, thermo, photo, encoder motor, servo motor and many others in Real-Time. The programming API is available in python and C/C++. 

    The robotics platform features the color touch display with the graphical interface, which can also be customized by a user via the programming API.

    Besides on-board GUI the solution implements two remote interfaces: WebDAV and ssh. Integration with a cloud is supported via MQTT protocol. 

    The connectivity is available via WiFi, Bluetooth and USB Ethernet. SD card and USB flash drives can be used to distribute data to/from the controller. Multiple controllers can be connected with each other via CAN interface where a Master controller can seamlessly operate with remote sensors and actuators connected to a Slave controller(s) in the same real-time manner.


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