Selgitustaotlus

Saatja: "Ants Väinsalu" <[email protected]> Saaja: "info - AKI" <[email protected]> Teema: Küsimus andmekaitsele /Alarmest OÜ Kuupäev: 2026-01-19 12:01 Tähelepanu! Tegemist on välisvõrgust saabunud kirjaga. Tundmatu saatja korral palume linke ja faile mitte avada. Tere, Pöördun AKI poole alljärgneva palvega. Soomes ja paljudes teistes riikide haiglates ja hooldekodudes on kasutusel AI põhine patsientide kukkumise ennetamise süsteem. Manuses eestikeelne lühitutvustus ning inglisekeelsed tutvustused ja kirjeldused. Kasutusel ja väljatöötatud on see süsteem Soomes. Töötab paljudes haiglates ja hooldekodudes üle Soome. Eestis kasutusel Tartu Ülikooli Kliinikumis. Tartu Ülikooli Kliinikumi andmekaitse spetsialistid on antud süsteemi andmekaitse seisukohalt läbi vaadanud ja mingeid pretensioone ei ole. Süsteem töötab seal juba 2 aastat! Meil on üks klient kes soovis saada arvamust AKI-st enne kui ta midagi selle süsteemi osas otsustab. Seoses sellega paluksime teiepoolset arvamust ,kommentaari kas antud süsteem vastab andmekaitse nõuetele. Juhul kui teil on lisaküsimusi või soov saada lisadokumente siis heameelega vastame teie küsimustele. Link ettevõtte Soome kodulehele: https://versovision.com/solution/ Uudised sellest süsteemist eesti keeles: https://www.ena.ee/tehisintellekt-tervishoius-verso-vision-ennetab-kukkumisi/ Lugupidamisega/Best Regards, Ants Väinsalu Juhatuse liige Telefon: ( +372) 6581250 Mobiil: ( +372) 5042477 <mailto:[email protected]> [email protected] ALARMEST OÜ Reg.nr.10614111 Peterburi tee 47/1, 11415 Tallinn Eesti Vabariik <mailto:[email protected]> [email protected] <http://www.alarmest.ee/> www.alarmest.ee IMPORTANT! This email message is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are notthe intended recipient, please contact the sender by replye-mail and destroy all copies of the original message. Thank you. Tehisintellektipõhine kukkumiste ennetamise ja tuvastamise süsteem • Kasutuses haiglates ja hooldekodudes • 50 % kukkumistest on võimalik ära hoida • Tuhanded hooldajad valivad Verso Visioni • +10 000 kukkumiste ennetamist igal aastal • Välja töötatud koostöös Helsingi Ülikooli Haiglaga [email protected] (+372)504 2477 www.alarmest.ee www.versovision.com  ompliant pliant data data processing processing nowearables no no wearables wearables requ required requi no wearables required no•noContactless wearables wearables and disc required required R-compliant ememe alerts alerts alertsonon ondata processing unsafe unsafe unsafe elerts alerts on AUTOMAATTISET AUTOMAATTISET AUTOMAATTISET unsafe onAUTOMAATSED unsafe TEKOÄLY TEKOÄLY TEKOÄLY no wearables require HÄLYTYKSET: HÄLYTYKSET: HÄLYTYKSET: mstances ances stances are AUTOMAATTISET AUTOMAATTISET are are sent sent HÄIRED: topersonnel. personnel. TEKOÄLY TEKOÄLY HÄLYTYKSET: HÄLYTYKSET: time ances ces alerts are are sent onsent sent to to personnel. to to unsafe personnel. personnel. AUTOMAATTISET TEKOÄLY HÄLYTYKSET: mstances ctless ess ctless and and and are sent Vuoteesta Vuoteesta Vuoteesta discrete discrete discrete tomonitoring personnel. monitoring monitoring - -- Vuoteesta Vuoteesta Vuoteesta I-Alerts Alerts -Alerts essandand Voodist Vuoteesta Vuoteesta discrete discrete tõusmine monitoring monitoring - - Voodist Vuoteesta väljumine Vuoteesta Alerts erts carables AI-Alerts arables I-Alerts AI-Alerts bles required nouseminen nouseminen nouseminen required required Süsteem Vuoteesta annab häiret, poistuminen poistuminen poistuminen Vuoteesta Süsteem annab häiret, actless AI-Alerts AI-Alerts Alerts es bles and Automatic required required discrete Automatic Automatic nouseminen nouseminen Järjestelmä Järjestelmä Järjestelmä AI-Alerts monitoring - AI-Alerts AI-Alerts hälyttää, hälyttää, hälyttää, poistuminen poistuminen Järjestelmä Järjestelmä Järjestelmä Automatic Automatic c AI-Alerts earables kui Automatic Automatic kun nouseminen patsient Järjestelmä Järjestelmä required Automatic kun kun potilas AI-Alerts potilas potilas AI-Alerts AI-Alerts tõuseb hälyttää, hälyttää, AI-Alerts nousee AI-Alerts nousee nousee poistuminen kuiJärjestelmä patsient Järjestelmä hälyttää, hälyttää, hälyttää, väljub kun kun kun potilas potilas potilas Automatic kun Järjestelmä voodis Automatic kun potilas potilas nousee makuuasennosta makuuasennosta makuuasennosta AI-Alerts hälyttää, lamamisasendist Automatic AI-Alerts AI-Alerts nousee istu- istu- Järjestelmä voodist. hälyttää, hälyttää, istu- poistuu kun poistuu poistuu kun potilas potilas sängystä. sängystä. sängystä. Automatic kun istuma. potilas makuuasennosta makuuasennosta maan maan maan AI-Alerts nousee istu- sängyssä. sängyssä. sängyssä. hälyttää, istu- poistuu poistuu kun potilas sängystä. sängystä. makuuasennosta maan maan sängyssä. sängyssä. istu- poistuu sängystä. maan sängyssä. Leaving Leaving Leaving Bed BedBed Attempt Attempt Attempt WC-aikaylitys Bed Bed Bed ExitExit Exit Huoneesta WC-aikaylitys WC-aikaylitys Leaving Leaving Leaving Leaving Leaving Bed Bed Bed Bed Bed Attempt Attempt Attempt Attempt Attempt Huoneesta Bed Bed Huoneesta Bed Bed Bed Exit Exit ExitExit Exit d Tualetis Leaving Leaving Bed viibimise WC-aikaylitys WC-aikaylitys Leaving Bed Bed Attempt Attempt Attempt Ruumist Huoneesta Huoneesta Bed BedBed Exitväljumine Exit Exit Järjestelmä Järjestelmä Järjestelmä WC-aikaylitys Leaving hälyttää, hälyttää, hälyttää, Bed Attempt poistuminen poistuminen poistuminen Huoneesta Bed Exit ajaJärjestelmä ületamine Järjestelmä hälyttää, hälyttää, Süsteem annab häiret, poistuminen poistuminen kun kun Restless kun Restless Restless Restless Restless potilas potilas in in in potilas Järjestelmä Restless Bed inin Bed in Bed Bed Bed Bed poistuu poistuu poistuu Järjestelmä Leaving Järjestelmä hälyttää, Leaving Leaving Leaving Leaving Leaving Bed Bed Bed Järjestelmä poistuminen Bed Bed Bed Attempthälyttää, Attempt hälyttää, hälyttää, Attempt Attempt Attempt Attempt kunkun kunB Süsteem kun kun Restless Restless in annab potilas potilas in Bed poistuu Bed häiret, kui Leaving poistuu kuiJärjestelmä patsient Järjestelmä LeavingBedBed lahkub hälyttää, Attempt Attempt toa hälyttää, kun kun wc-tilaan kun wc-tilaan wc-tilaan Restless Restless Restless in Restlesspotilas in Bed tai in Bed in tai tai on Bed Bed on on ollut poistuu ollut ollut potilas potilas potilas Leaving Leaving Leaving BedBed Leaving Bedpoistuu Järjestelmä poistuu poistuu Attempt Bed Attempt Attempt Attempt huoneen hälyttää, huoneen kun huoneen B Bed patsient wc-tilaan wc-tilaan läheb tai wc-tilaan tai ontualetti on ollut taiajan. või ollut onajan. ollut uksest potilas koridori. potilas poistuu poistuu potilas huoneen huoneen poistuu huoneen siellä siellä siellä ylivalitun yli yli valitun valitun ajan. ovesta ovesta ovesta käytävälle. käytävälle. käytävälle. onsiellä seal siellä yliviibinud yli valitun kauem valitun ajan. ajan. siellä yli valitun ajan. kui ovesta ovesta käytävälle. käytävälle. ovesta käytävälle. talle määratud aja. eAlert Alert ert Room Room Room Exit ExitExit Patient Patient Patient Fall FallFall ert me Alert Room Room Exit Exit Room Exit Patient Patient FallFall Patient Fall ert ert Room Room Room Exit ExitExit Patient Patient Patient Fall FallFall AI-eyesRoom Bed Bed Roomfor BedExitExit safer Exit care Patient Patient Fall Fall t AI-eyes AI-eyes for forsafer safer care care lert Room Exit Patient Fall AI-eyes AI-eyes Bed AI-eyes Toilet Bed for Toiletfor Toilet Exit ExitExit Exit and safer safer Bed for Exit Exit and and Time care safer Time Time care care Alert Alert Alert Room Room Room Exit Exit Exit käyttöliittymästäP Toilet Toilet Toilet Exit Toilet Toilet Kaatuminen Kaatuminen Kaatuminen Exit Exit Exit Toilet Exit and and and and and Exit Time Time Time Time Time and Alert Alert Alert Time Alert Alert Alert Room Hoitaja Hoitaja Hoitaja asettaa Room Room Room Room Room Exit asettaa asettaakäyttöliittymästä Exit Exit Exit käyttöliittymästä Exit Exit P Kukkumine Kaatuminen Kaatuminen Kaatuminen Hooldaja Hoitaja Hoitaja Hoitaja määrab asettaa asettaa asettaa yksilölliset yksilölliset yksilölliset patsiendile potilaallePati käyttöliittymästä käyttöliittymästä käyttöliittymästä hälytykset hälytykset hälytykset potilaalle potilaalle Toilet Toilet Toilet ExitExitExit and andand Time Järjestelmä Järjestelmä Järjestelmä Time TimeAlert Alert Alert hälyttää, hälyttää, hälyttää, Room individuaalsed Room Room yksilölliset yksilölliset Exit Exit Exit häired hälytykset hälytykset kasutaja- potilaalle potilaalle Süsteem Järjestelmä kun annab Järjestelmä Järjestelmä potilas hälyttää, yksilölliset häire, hälyttää, hälyttää, kaatuu. hänenhänen hänen hälytykset riskianalyysinsä potilaalle riskianalyysinsä riskianalyysinsä pohjalta. pohjalta. pohjalta. kunkunpotilas potilaskaatuu. kaatuu. hänen liidesest hänen hänen riskianalyysinsä vastavalt riskianalyysinsä riskianalyysinsä tema pohjalta. riski- pohjalta. pohjalta. kuikun kun patsient kun potilas potilas kukub. potilas kaatuu. kaatuu. kaatuu. Huom! analüüsi Huom! Huom! Huom! kissa Järjestelmä Järjestelmä Järjestelmä alusel. Järjestelmä tapauksissa ei eieihälytä ei hälytä hälytä hälytä eikä näin kai- kai- kai- kai- korvaa Huom! Huom! kissa kissaJärjestelmä tapauksissa tapauksissa Järjestelmä ei eikä ei eikä hälytä hälytänäin näinkai- korvaa kai- korvaa kissa kissa kissa normaalia tapauksissa normaalia tapauksissa normaalia tapauksissa potilaiden eikä potilaiden eikä potilaiden eikä toiminnan näin näin korvaa toiminnan näin korvaa toiminnan korvaa Märkus! Häired võivad erineda normaalia seurantaa normaalia seurantaa normaalia seurantaa ja potilaiden potilaiden ja potilaidenvalvontaa. valvontaa. ja valvontaa. toiminnan toiminnan toiminnan Järjes-Järjes- Järjes- erinevates kohtades. Süsteem ei anna telmä seurantaa seurantaa telmä seurantaa telmä ei ja valvontaa. välttämättä javälttämättä valvontaa. eijavälttämättä eijuhtudel valvontaa. lähetä Järjes- Järjes- lähetä Järjes- lähetä häly- häireid kõikidel ja seega ei häly- häly- asenda telmä telmä telmä tyksiä, tavalist tyksiä, ei eityksiä, ei välttämättä jos josvälttämättä kamerasensorin patsiendijos välttämättä kamerasensorin lähetä aktiivsuse lähetä kamerasensorin lähetä häly- edessä häly- jälgimist. edessä häly- edessä Süs- teem eityksiä, onjotain pruugi tyksiä, on tyksiä, jotain on jos jos jos jotain saatakamerasensorin esim. potilasnosturi. häireid, kamerasensorin esim. esim. kui potilasnosturi. kamerasensorin potilasnosturi. edessä edessä kaamera edessä sensori on eesjotain onesim. nt. esim. potilasnosturi. patsiendi tõstuk. on on jotain jotain esim. potilasnosturi. potilasnosturi. Patient Patient Patient Fall FallFall Patient AI-eyes AI-eyes AI-eyes AI-eyesforfor for for safer safer safer safer care care care care FallFallFall Patient Patient AI-eyes AI-eyes AI-eyes for for for safer care safer safer care care AI-Enabled Patient Fall Prevention and Detection Solution Verso Vision — AI-Enabled Patient Fall Prevention and Detection Solution Verso Vision is paving the way for fall prevention technology in hospitals and Benefits elderly care facilities. The Verso Vision software solution uses video analytics and • 50% fewer falls among hospital AI to deliver fall-prevention for critical care, and nursing home patients orthopedic care, elderly safety, and other fields. It is specifically designed to prevent • Increased nursing staff efficiency patient falls and wanderings before they allowing targeted focus on patient happen, safeguarding patients, and helping care staff efficiently manage situations when they • 24/7 constant and consistent do arise. The additional advantage is that patient risk monitoring without patients who prefer to remain independent exhausting staff resources can do so safely allowing professional caregivers to intervene only when necessary. • Increased patient protection through fall and injury prevention The AI-driven technology and optical delivers cost efficiencies for sensors monitor rooms and alert staff of medical and care facilities potential risk situations such as bed exiting, • Quick return on investment within restless bed movement, room exiting when 2 to 6 months owing to savings toilet time limits are exceeded, and patient generated through fall and fall incidents occur. This enables accurate accident prevention and timely intervention by nursing staff. Additionally, the Verso Vision technology is patented which further confirms the quality and accuracy of the In use with 5000+ nurses: In user solution monitoring and alerts. experience studies, 100% said they want to continue using the solution. Mounted Optical Sensor Software Detection and Alert Functions  Privacy and Safety The Verso system is designed to respect patient privacy. The analysis of situations and spaces occurs without anyone personally watching the patient. Additionally: • Patient privacy is ensured through anonymous pattern recognition and secured lines • GDPR-compliant data processing • Real-time alerts on unsafe circumstances are sent to personnel. • Contactless and discrete monitoring - no wearables required Automatic AI-Alerts Restless in Bed Leaving Bed Attempt Bed Exit Toilet Exit and Time Alert Room Exit Patient Fall Key Features • Notifications are sent to staff • Customise the privacy and monitoring instantaneously when risk is detected features of the solution to suit care needs • No wearables needed or alarm buttons to press in case of a fall • Numerous features and development opportunities such as patient activity • Discrete alerts are sent directly to and staff interactivity level monitoring nursing and care staff indicating room and more are available — all done via and bed number without revealing software, with no hardware updates patient information needed • Prioritises patient privacy by assessing • Prevents accidents and extra care circumstances and environments days protecting patients from pain and without observing the patient directly suffering while also making room and • Caregivers can check the situation resources available for others in need in a patient’s room via an encrypted • Alerts are automatically routed through mobile video when receiving an alarm a nurse call system directly to the (silhouette video or a normal image) nurses Contact information [email protected] +358 45 135 0827 AI-eyes for safer care www.versovision.com 14/1/2025 Data Management Practices 1. Introduction This document is a description of how data is collected, used, deleted, or otherwise processed in the Verso Vision fall prevention software (“Solution”). The Solution is used as assistance and support for care work in healthcare and social services in hospitals and elderly care to improve the safety of patients and customers. Personal data, as defined in General Data Protection Regulation (“GDPR”), is processed in the Solution. In addition, the Solution produces anonymous data from which individuals are not identifiable. Care providers (“Customer”) who use the Solution under a separate service agreement are data controllers for any personal data processed when using the Solution whereas the processor of the personal data is typically Verso Vision Ltd., a company organized and existing under the laws of Finland, registered under number FI31288246, address Kympinkatu 3 C , FI-40320 Jyväskylä, Finland (“Verso Vision”). If the Customer acquires the Solution from a distributor or another service provider, Verso Vision acts as a subprocessor. 2. Processing of Personal Data and Types of Personal Data The Solution uses camera sensors and AI analytics to detect risky situations in the monitored area, such as the Customer’s patient rooms. The original images from the camera sensor are not stored but only processed in real time and transformed into pose and movement analysis on the servers at the Customer’s premises. The Solution is not connected to patient data management systems and only provides alerts based on place and room information. The Solution does not process, identify, or by any means try to identify any personal characteristics in the human figures it has detected, such as the gender, age, or ethnicity. Room information is processed in order to provide useful alerts for the medical and care personnel. By default, the Solution does not provide access for the Customer’s personnel to the camera sensor video streaming for remote monitoring of patient rooms. By the Customer’s request, anonymized real- time but not recorded mobile video streaming can be enabled from predefined events such as alarms generated by the Solution. Data generated by the Solution is pseudonymous data because it includes place and date information, but not directly identifiable personal information about the individuals who have been in the monitored areas. Data is personal data because the Customer’s nursing personnel (i.e., persons authorized by Customer) can link data generated by the Solution with place and date information to a specific patient. Practically, the same data is anonymous data for Verso Vision’s support team since they don’t have any access to patient data. The Verso Vision support team is unable to attribute the generated data to any individuals. From certain events, such as detected risky situations and for the monitoring of possible software failures, the Solution stores non-identifiable data on the Customer’s on-premise server with anonymous or pseudonymous metadata (date and place). Pseudonymous data is used for software failure monitoring, and anonymous data for software failure correction and product development purposes. The Solution’s actual processing of personal data takes place on the Customer’s premises. Pseudonymous metadata (date, place, alarm type) is sent to a nurse call system and nursing personnel are notified of the detected risky situations. Nurse call systems are typically hosted on the Customer’s premises or on public cloud.  14/1/2025 Pseudonymous data Pseudonymous data is processed and stored for the Solution’s performance, maintenance and failure monitoring purposes only from certain events in the database in the servers located at the Customer’s premises. The pseudonymous data is stored for a limited storage period agreed with the Customer (for example, five working days) so that possible problems can be fixed, and the Solution maintained. When the agreed storage period has expired and/or the required support actions are completed, the pseudonymous data containing date and place is deleted permanently from the Solution. Anonymous data For product development and failure correction purposes, pseudonymous data is anonymized by Verso Vision on the servers on the Customer’s premises. Anonymized data is not personal data. To obtain anonymized data, all the metadata of the anonymized images, which may contain information that can be used to identify an individual, is removed or made inaccurate. Then anonymous data is saved and transferred using a secure connection to the Verso Vision servers located in the EU. After the transfer, Verso Vision permanently deletes the anonymized data from the Customer’s server and database. Anonymous data is not transferred continuously but typically during the Solution’s installation phase and later if needed for software failure corrections in product development. 3. Sharing Personal Data Any personal data processed by Verso Vision on the Customer’s behalf will not be publicly displayed or shared. Verso Vision employees have access to personal data only to the extent necessary for the performance of their work duties to provide the Solution to Customer. Third party processors who help Verso Vision to provide the Solution do not have access to personal data. Hence, Verso Vision does not use any sub-processors in this context. 4. Ensuring the Security of Personal Data Verso Vision constantly works to protect the security of personal data and has taken necessary technical and organizational security measures to protect the personal data against accidental or unlawful destruction, loss, or alteration and against the unauthorized disclosure, abuse, or other processing in violation of applicable law. Data security of the servers at the Customer’s premises depends also on the data security measures applied by the Customer on its premises. The measures taken include for example identity and access management; preventing unauthorized viewing of personal data; deliberately set password requirements; structurally safe network design; encryption; data loss prevention and other relevant continuously updated security measures. All Verso Vision personnel have committed themselves to confidentiality. CONFIDENTIAL 1.8.2025 Verso Vision System Description and IT Requirements System Description ................................................................................................................................. 1 Servers and Nurse call Solutions ............................................................................................................. 1 User Interfaces and Access rights ........................................................................................................... 2 Network requirements ........................................................................................................................... 2 Detailed Network Openings .................................................................................................................... 4 System Description Verso Vision solution uses artificial intelligence and video analysis to detect activity and risky situations in a room and notify personnel via mobile devices. Notifications are sent to personnel via nurse call system or via a mobile device, letting them know when a patient gets out of bed or falls in their room, for example. The system uses camera sensors installed in rooms, and the image stream is processed in real time on a local server. The image stream is not recorded, and personnel do not have access to it – Verso Vision solution is therefore not a camera surveillance system. The data diagram below shows the process flow of the Verso Vision system. Servers and Nurse call Solutions Servers On behalf of Verso, the server can be placed in a data center or at the site where the system is in use, the final decision on the server location is made by the customer's IT experts. The server hardware is installed at the designated location by either Verso or a specialist at the site. The operating systems of the servers will be Linux, as specified separately. The server’s capacity must support agreed number of patient places, in accordance with Verso Vision's guidelines. Scalability and accessibility The system architecture is based on containers, which achieves good maintainability through orchestration technologies (Kubernetes). Orchestration technologies ensure scalability and Verso Vision Oy VAT number: FI31288246 Kympinkatu 3C [email protected] 40320 Jyväskylä www.versovision.com FINLAND  CONFIDENTIAL 1.8.2025 accessibility of the system. In addition, the system data will be backed up regularly on a schedule and method agreed with the Customer. Availability may be improved by adding redundant server capacity, and the system can be configured as a high-availability (HA) system. The specific availability and monitoring arrangements will be agreed upon separately with the Customer. Nurse Call System and Mobile Video Alarms from the Verso system are delivered to personnel either via the customer’s nurse call system or through Verso’s mobile application. Verso provides integrations with common nurse call systems. The Verso mobile app runs on Android devices (support for iOS is planned for a later release). The Verso Vision mobile application runs on a device connected to the on-premises wireless network and communicates with Verso Vision server through specified network connections. The mobile application does not require access to the public internet. Mobile video When an alarm is triggered, it is possible to open an encrypted, anonymous mobile video connection to the room using the nurse’s mobile device. The customer can choose whether mobile video is enabled. The technical requirement is that mobile devices must have access to the Verso server, meaning they must be connected to the internal wireless network. User Interfaces and Access rights User Interface for Nurses' Workstations After the software is installed, a browser-based user interface for managing Verso alerts will be made available on nurses’ workstations. Supported browsers include Chrome, Firefox, and Edge, and no browser plug-ins are required. Browsers must support the certificate selected by the customer. A Verso Vision shortcut will be created or distributed to the nurses’ workstations, linking directly to the user interface. User authentication can be handled using either shared user IDs or the customer's Active Directory (AD)-based authentication solution. If shared user IDs are used, login details can be embedded into the shortcut to enable direct access. The user interface only displays alarm settings relevant to each patient room and location. Network requirements Network connections The Verso Vision server provides necessary services over the customer's internal network. Maintenance requires access to specific public internet services. All required network traffic is outbound only; no inbound network connections are needed. Additionally, certain internal network connections are required, for example, server access to cameras and access from nurses’ workstations to the browser-based user interface hosted on the server. Verso Vision will provide a list of required network connections. Verso Vision Oy VAT number: FI31288246 Kympinkatu 3C [email protected] 40320 Jyväskylä www.versovision.com FINLAND  CONFIDENTIAL 1.8.2025 Domain name and Certificate for the Verso User Interface Verso Vision recommends using secure network connections for system services, which requires a domain name and certificate. The domain name is typically in the format versovision.customerdomain.com. If mobile video is used through a nurse call system, a commercial certificate is recommended due to compatibility issues with Android devices and customer-signed certificates. IP Addresses to Verso Vision Solution Verso delivers the server pre-installed. Ideally, the customer’s IT department provides IP addresses in advance to facilitate server preparation. Verso will send a list of required IP addresses for the server and connected devices, such as cameras. Remote connections The Verso Vision system requires remote access for installation and customer support. Remote connections can be established via the customer’s VPN or via other agreed method. Verso Vision Oy VAT number: FI31288246 Kympinkatu 3C [email protected] 40320 Jyväskylä www.versovision.com FINLAND  CONFIDENTIAL 1.8.2025 Detailed Network Openings From Verso Vision server to public internet For Verso Vision support, the following network openings are required: Port Protocol Source Destination Purpose Verso Vision Time synchronization 123/UDP NTP server ntp.vv-intra.xyz Local NTP server can be used as well Verso Vision Verso Vision software 443/TCP HTTPS server harbor.vv-intra.xyz repository for system updates Verso Vision 443/TCP HTTPS versovision.atlassian.net Automated monitoring server Verso Vision *.archive.ubuntu.com Operating system 443/TCP HTTPS server *.security.ubuntu.com updates Connections from the server to cameras To be able to control and monitor cameras and to read their video streams, the Verso Vision server need to be able to access the following ports in every camera in the camera network. Port Protocol Source Destination Purpose Verso Vision 554/TCP RTSP Camera Video streaming server 80/TCP Verso Vision Camera management HTTP server Camera 8080/TCP UI Verso Vision 443/TCP ONVIF Camera Camera configuration server Verso Vision Oy VAT number: FI31288246 Kympinkatu 3C [email protected] 40320 Jyväskylä www.versovision.com FINLAND  CONFIDENTIAL 1.8.2025 Connections to Verso Vision server To be able to access the Verso Vision system locally, the following ports in the network interface of the host operating system need to be made available in the local network. Port Protocol Source Destination Purpose Verso Vision 443/TCP HTTPS Nursing station Nurse UI server Verso Vision 443/TCP HTTPS Mobile device Video stream (optional) server 80, 30000 – 32000 Remote support Verso Vision HTTP Management UIs TCP via VPN server Remote support Verso Vision 443/TCP HTTPS Maintenance via VPN server Remote support Verso Vision 22/TCP SSH Maintenance via VPN server Connections from the mobile device to the server For the mobile devices, the following network openings are required: Port Protocol Source Destination Purpose Mobile device on wireless 443/TCP HTTPS Verso Vision server Alarm messaging network Verso Vision Oy VAT number: FI31288246 Kympinkatu 3C [email protected] 40320 Jyväskylä www.versovision.com FINLAND