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✔ Transform existing CCTV setups into intelligent monitoring systems via simple PC installation—no expensive dedicated servers needed ✔ Flexible subscription model: Try the free tier and scale instantly just by entering a license key ✔ All in one solution featuring AI flame & smoke detection, live multi view, and floor plan based dashboards Packed with proprietary vision AI technology, 'VistaPro'—an on premise integrated AI fire monitoring software—has officially launched. VistaPro is a pure software driven AI integrated safety monitoring solution that runs directly on user PCs without requiring any dedicated hardware infrastructure. Until now, deploying AI video analytics in industrial or commercial facilities involved heavy upfront costs and time constraints, requiring the purchase of expensive dedicated analytics servers and on site visits from engineers for network configuration. VistaPro breaks through these traditional hardware centric barriers by fully embracing a software download and license activation model. Users can evaluate the solution risk free by downloading the complimentary free tier to their PC. When ready to scale, they can simply purchase a paid plan on the official website and enter their issued license key (serial key) into the dashboard to instantly expand channel capacity and unlock advanced features. No more complicated setups: Instant monitoring powered by ONVIF auto discovery and batch registration VistaPro provides an intuitive setup experience so on site managers can directly connect cameras and initiate operations without technician assistance. In addition to manual RTSP address entry for existing IP cameras (CCTVs), it supports ONVIF search to automatically discover and connect cameras within the same local network (LAN) and batch file registration via Excel or text files to upload multiple cameras at once—dramatically cutting initial rollout times. From floor plan based monitoring to one click analytics reports: Fully automated safety management It delivers an intuitive web dashboard designed to maximize operational efficiency for control room personnel. Managers can easily access it via a web browser on the same local network as the main PC, with multiple viewer modes tailored to site conditions. Operators can drag and drop camera and sensor locations—along with their field of view (FOV)—directly onto facility floor plans to intuitively track site wide safety. The Live View (currently supporting up to a 4 channel 2x2 split grid) immediately highlights channel borders in red (fire) or gray (smoke) when anomalies are detected, triggering instant real time alert pop ups for rapid situational awareness. Furthermore, multi account management allows role based access for general monitoring staff (viewers), while automated email alerts are instantly dispatched to designated contacts during emergencies to support rapid first response. Data analytics for post incident management have also been enhanced. The Statistics page provides daily peak fire and smoke probabilities alongside 24 hour trends on time series graphs. With a single click, safety managers can export a Fire Statistics Report complete with event snapshots from the highest risk moments and on site response logs, greatly reducing the burden of manual incident reporting. Democratizing AI safety monitoring: From small businesses to heavy industrial sites VistaPro is an all in one software solution designed for everyone—from small businesses that hesitated to adopt AI due to prohibitive infrastructure costs, to large industrial facilities requiring systematic, centralized management of numerous cameras and sensors. We are fully committed to making advanced site safety accessible and effortless for every organization. 💡 For more details on AIPro Inc.'s new VistaPro software, download options, and subscription plans, please visit our official website. Download VistaPro for Free ✔ AI Fire & Safety Monitoring Software VistaPro ✔ Pure PC Installable AI Solution Without Dedicated Hardware ✔ Free Tier Trial & Instant License Key Activation ✔ Real Time AI Flame & Smoke Detection ✔ Floor Plan Based Smart Dashboard & Automated Incident Reports ✔ AIPro Inc. Intelligent Vision Lab

Precision Tracking Even in Crowded Bottlenecks: AIPro Deploys AI People Counting at Yeosu Geobukseon Park From Urban Parks to Regional Landmarks: Smarter, More Precise Public Facility Management! ​ In our previous post, we shared how our solution leveraged legacy CCTV setups along urban parks and hiking trails to overcome false detections caused by shifting sunlight and moving shadows. Can AI deliver that same pinpoint accuracy inside specialized architectural spaces—such as an indoor exhibition venue—without missing a single visitor in dense crowds? Partnering with the Advanced Security Cooperative, vision AI specialist AIPro Inc. has successfully deployed its AI powered People Counting solution at Geobukseon Park in Yeosu, expanding its initiative to optimize public facility operations following its earlier urban park deployment. This project marks another milestone in smart public management, precisely targeting and tracking visitors crowding through the narrow entryways of the park's iconic Turtle Ship replica. How Do You Track Dense Crowds Funneling into a Narrow Shipboard Entrance? The interior of the life sized Turtle Ship replica, the landmark centerpiece of Yeosu Geobukseon Park, is a high traffic attraction popular with both local residents and tourists. Unlike standard buildings, however, the ship features a remarkably narrow entrance , making accurate visitor counting particularly challenging during peak hours when crowds surge. & xA0; 🚨 Confined Entrance Architecture: Visitor traffic heavily funnels into a narrow doorway leading into the ship & xA0; 🚨 Crowded Surges & Occlusion: Families and tour groups enter simultaneously in tight clusters, frequently overlapping and blocking line of sight Because visitors pack together tightly when stepping through the entrance, conventional break beam sensors and legacy counting methods often merge multiple people into a single count or miss occluded individuals entirely. Resolving Bottlenecks and Occlusion: 98% Accuracy Powered by Targeted AI Tracking Missed counts and duplicate tallies caused by crowded bottlenecks are major operational headaches in facility monitoring. Furthermore, the threshold transitioning from the bright outdoor park into the dim interior of the ship creates sharp lighting contrasts, making standard vision algorithms prone to misidentification. AIPro’s AI People Counting solution resolves these physical constraints by precisely defining targeted detection zones around the narrow doorway and deploying advanced deep learning models trained to isolate and distinguish individual visitors—even when walking shoulder to shoulder or moving in dense single file queues. Even amid sharp day to night lighting shifts and indoor outdoor contrast, the system delivers high precision accuracy, analyzing and tabulating real time visitor counts, as well as demographic insights like gender and age groups. Tailored Solutions for Unique Spaces: Responsive AI Built for Real World Field Conditions With this deployment, Yeosu Geobukseon Park can now accurately track visitors entering through the narrow portal in real time. This enables data driven, systematic facility management—strengthening visitor safety by preventing overcrowding inside the ship and optimizing crowd flow for a more comfortable touring experience. 🔎 Facing unique environmental variables across diverse deployment sites and resolving them through technology is an ongoing learning curve. Meaningful operational data can only be captured when we thoroughly understand the specific nuances of each location—from wide open outdoor paths to narrow, dimly lit exhibition entrances. AIPro will continue to listen closely to the needs of public venues, continuously striving to streamline operations for facility managers while ensuring safe, reliable public spaces for citizens. ✔ AI People Counting Solution ✔ Visitor Foot Traffic Analytics at Yeosu Geobukseon Park ✔ High Accuracy Counting for Narrow Entryways ✔ AI Video Analytics for Public Facilities ✔ Real Time Park Visitor Tracking ✔ AI Powered Foot Traffic Measurement System

Tracking Trail Foot Traffic with Legacy CCTVs? AIPro Deploys AI People Counting Solution in Urban Parks! Can We Manage Urban Parks and Hiking Trails Smarter? As more citizens flock to urban parks and hiking trails, public agencies are increasingly faced with a key question: "How can we track visitor foot traffic efficiently and scientifically?" AIPro Inc. , a company specializing in artificial intelligence video analytics, has partnered with the Advanced Security Cooperative to successfully deploy an AI based People Counting solution across urban parks , accelerating efforts to optimize public facility operations. This project serves as an innovative smart public management model that maximizes existing CCTV infrastructure without costly hardware overhauls, while overcoming outdoor lighting shifts and shadow induced false positives through targeted AI training . Budget Savings Meet Smart Monitoring: Leveraging Existing CCTV Infrastructure When adopting a new AI system, the biggest hurdle is undoubtedly the high cost of hardware replacements. AIPro built an accurate foot traffic counting system for hikers by fully utilizing the existing CCTV camera infrastructure already in place along park trails and boardwalks. & xA0; ✅ Cost Savings: Integrates seamlessly with existing infrastructure without requiring expensive dedicated cameras & xA0; ✅ Rapid Deployment: Allows flexible configuration of detection zones tailored to park layouts and trail boardwalk routes By directly interfacing with video feeds from standard surveillance CCTVs already stationed at park entrances and trail decks, the system delivers precise visitor counting without the overhead of installing additional equipment. Overcoming Outdoor Lighting Shifts and Shadows: 98% Accuracy Powered by AI Deep Learning Unlike controlled indoor spaces, outdoor parks and trails are notoriously difficult environments where shifting sunlight, swaying foliage, harsh shadows, and nighttime illumination frequently lead to duplicate counts and misidentifications . AIPro's AI People Counting solution resolved these environmental bottlenecks through advanced computer vision algorithms specifically trained on diverse outdoor variables. Data Driven Smart Administration: The Impact of Public AI Solutions By deploying this solution, public administrators can transition away from guesswork and intuitive management. The resulting data empowers agencies to strengthen visitor safety during peak hours, schedule trail deck maintenance based on actual foot traffic, and deliver structured, data driven public services that significantly enhance citizen satisfaction. 💡 Grounded in continuous collaboration with the Advanced Security Cooperative, AIPro’s achievement is particularly meaningful because it simultaneously tackles two critical challenges: repurposing legacy public infrastructure and surpassing outdoor AI detection limitations . It establishes a clear benchmark and actionable blueprint for municipalities and public institutions looking to roll out top tier smart city monitoring networks on lean budgets. ✔ AI People Counting Solution ✔ Hiker Foot Traffic Analytics for Urban Parks ✔ Legacy CCTV Compatible People Counter ✔ AI Video Analytics for Public Facilities ✔ Real Time Park Visitor Tracking ✔ AI Powered Foot Traffic Measurement System

In ESS facilities and server rooms—where batteries, power systems, and server equipment are densely packed—catching fire hazards and environmental anomalies at the earliest stage is critical. AIPro’s Intelligent Fire & Environmental Anomaly Early Detection System fuses advanced Vision AI with temperature and humidity sensor data to provide integrated, real time detection of smoke, flames, and thermal or humidity irregularities. Scheduled for launch in the second half of 2026 , this solution can be deployed beyond ESS and server rooms across a wide range of critical industrial and facility spaces, including electrical rooms, UPS rooms, battery rooms, and data centers. For system adoption and deployment inquiries, please reach out to the AIPro Sales Team. [Reference Material – Related Poster]

How Accurate Is AI at Spotting Underground Parking Fires? Inside AIPro’s ‘FireFocus’ Field Test Can Vision AI Secure the Golden Hour in Underground EV Fires? With recent headlines dominated by electric vehicle (EV) fires, facility managers across residential complexes, public institutions, and commercial buildings are under immense pressure. In enclosed underground parking garages, thick toxic smoke spreads fast and fire trucks struggle to gain access. That means everything comes down to one critical factor: how quickly and accurately you can catch the very first signs of smoke and flames. But when the stakes are this high, how reliable is AI fire detection in practice? To answer that question with real world data, vision AI specialist AIPro teamed up with EV fire response specialist S Solution to conduct a head to head Fire Detection AI Model Performance Test . Moving beyond lab simulations, we tested our systems against thick smoke, live flames, and tricky visual decoys designed to trigger false alarms. Here is a look inside the field test. Validating AI for Underground EV Parking Environments The goal of this test was to objectively evaluate and compare AI detection models tailored for underground EV parking lots—and ultimately deliver a cost effective, rock solid integrated fire safety solution to the market. Project Overview Project Name : Fire Detection AI Model Performance Comparison Test Date : Friday, October 17, 2025 Hosted by : S Solution Co., Ltd. Participating Partner : AIPro Co., Ltd. Tested Solutions S Solution : AI Fire Detection Camera ( ME100 ) AIPro : AI Fire Analytics Solution ( FireFocus ) From Fog Machines to Fake Campfires: 3 Real World Test Scenarios In the field, fire detection systems usually fail in one of two ways: missed detections when a real fire breaks out, or constant false alarms (false positives) triggered by headlights, reflections, or steam. To put both capabilities to the test, we ran three distinct scenarios: 1. Smoke Detection Accuracy (Fog Machine Test) : Using a fog machine to simulate the unpredictable dispersion of early stage smoke, we measured how quickly and accurately the AI recognized diffusing smoke plumes. 2. False Positive Evaluation (Artificial Campfire Test) : We set up a prop "artificial campfire" using fabric and LED lighting to see if the AI would be fooled by fire colored lights and flickering motion—or accurately filter them out as non threats. 3. Live Flame & Smoke Detection (Real Brazier Test) : By igniting a real brazier, we evaluated real time detection speed and tracking stability when genuine flames and smoke occurred simultaneously. | Test Scenario | Core Objective & What We Measured | | | | | 1. Fog Machine Test | Speed and accuracy in spotting early stage, non uniform smoke patterns | | 2. Artificial Campfire Test | False alarm immunity against fire like lighting, colors, and movement | | 3. Live Brazier Fire Test | Real time detection reliability and response speed on genuine flames and smoke | Field Report: Voices from the AIPro Engineering Team Engineers from AIPro’s technical team who ran the on site testing shared their firsthand perspective on the challenges facility managers face today—and what this partnership means going forward: "With the recent wave of EV fire incidents, facility managers at public agencies and enterprises are deeply concerned. Every time we visit trade shows or client sites, we hear the exact same thing: 'We shouldn't even allow risky EVs to park underground.' It really drives home how heavy the burden is for on site personnel right now. We ran this AI performance test to benchmark and validate a fire detection solution that is both cost effective and genuinely dependable. AIPro’s core strength lies in rapid recognition and high precision video analytics , while our partner S Solution brings specialized hardware and response systems built specifically for EV fires. Since the second half of 2025, our two companies have been conducting joint R&D to combine our strengths into a practical, streamlined integrated system. This field test further solidifies our partnership, and we plan to keep pushing our joint development so this combined solution can protect a wide range of industrial sites." What This Means: Pairing Precision Analytics with Specialized Response This field test goes beyond simply proving that a camera can spot a flame. It demonstrates the synergy between AIPro’s high precision vision software ( FireFocus ) and S Solution’s EV specialized fire hardware and response tech ( ME100 ) . Backed by ongoing joint R&D since late 2025, the two companies are accelerating the rollout of a practical, field ready integrated fire safety system—not just for underground parking garages, but for logistics warehouses, manufacturing plants, and industrial facilities nationwide. Solving Real Problems Through Field Driven R&D AIPro and S Solution successfully validated their AI fire detection models across smoke, false positive, and live fire tests, advancing their joint R&D to deliver a practical, integrated EV fire monitoring solution. 🔎 For our team at AIPro, this test was another valuable milestone built on raw, real world field data. Rather than building technology that only works on paper, we remain committed to hands on, field verified R&D—growing as an AI company that solves real problems on the ground. ✔ Underground parking EV fire detection ✔ AI fire and smoke detection solution ✔ AIPro FireFocus video analytics ✔ False alarm prevention in fire AI ✔ EV fire monitoring camera system ✔ Real world AI fire performance test

Spotting Risks from 120 Meters Away: AIPro Emerges as the Sole Winner in KHNP’s AI Access Control PoC Making High Risk Dam Zones Safer with Long Range Vision AI Downstream areas around dams and hydroelectric power plants are inherently high risk zones. When spillways open to release water, water levels surge rapidly—meaning any unauthorized civilian access along the waterside can quickly turn into a life threatening emergency. Yet, relying solely on control room operators to manually monitor vast riverbanks 24/7 comes with obvious physical limitations. To solve this challenge, AIPro , a specialist in AI video analytics, partnered with Bando Electric & Communications to participate in the "AI Powered Intelligent Access Control System PoC (Proof of Concept) for Dam Downstream Areas" hosted by Korea Hydro & Nuclear Power (KHNP) Among three competing technology providers, AIPro was the only company to successfully pass the rigorous field verification . While other solutions struggled with missed detections and frequent false positives over long distances, AIPro reliably detected human presence from 120 meters away , paving the way for full scale commercial deployment in 2026. Preventing Spillway Accidents: Why Long Range Detection Matters The primary goal of this initiative was to automate the detection of civilians entering restricted waterside zones downstream of dams, giving control room staff early warnings before and during spillway discharges. Project Overview Project Name : KHNP "Dam Downstream AI Intelligent Access Control System PoC" Duration : June 20, 2024 – December 17, 2024 Project Proposer : Bando Electric & Communications Co., Ltd. AI Technology Provider : AIPro Co., Ltd. Verifying Authority : Korea Hydro & Nuclear Power (KHNP) Core Objectives Automatically detect civilian entry into high risk dam downstream and waterside zones Provide early risk alerts using AI driven object detection Assist control room operators and on duty personnel with automated monitoring Proactively prevent safety accidents during spillway water releases Three Contenders, One Winner: Proven Accuracy at 120 Meters Downstream hydroelectric environments are notoriously tough for computer vision. Glare off the water, mist, swaying vegetation, and wide open monitoring distances easily trip up standard AI models. During KHNP’s head to head field evaluation of three vendors, competing systems failed to spot distant subjects or triggered constant false alarms. AIPro stood out as the sole provider to clear every verification benchmark. Reliable Detection at 120 Meters : Accurately identified small pixel footprint human targets from 120 meters away without losing tracking stability. Two Stage Real World Validation : Proven performance across two separate operational sites—Uiam Hydroelectric Power Plant (Phase 1) and Goesan Hydroelectric Power Plant (Phase 2). PoC Roadmap & Milestones | Phase | Milestone Details | Date | | | | | | Planning | Established PoC roadmap and execution strategy | June 20, 2024 | | Phase 1 Test | Successful object detection at Uiam Hydroelectric Power Plant | July 4, 2024 | | Phase 2 Test | Successful object detection at Goesan Hydroelectric Power Plant | December 17, 2024 | | Next Step | Full Scale Project Deployment | 2026 | No Camera Replacements Needed: The Power of "Zero to One" Proprietary AI What enabled AIPro to succeed where others fell short? The difference lies in our engineering philosophy. Rather than simply fine tuning off the shelf foreign or open source models, AIPro builds its core algorithms from scratch ("Zero to One") . Zero to One In House Architecture : Because we develop our AI engines from the ground up, we can deeply customize and tune our models to handle the specific environmental noise of each dam site. Seamless Legacy CCTV Integration : Our software plugs directly into the facility's existing CCTV infrastructure—eliminating the need for expensive hardware replacements and drastically cutting deployment costs. Specialized Long Range Detection Algorithm : Engineered to extract precise feature data even from tiny, distant objects, effectively eliminating both missed detections and false alarms. What This Means: Scaling from 120m to 240m Ultra Long Range Surveillance Passing KHNP’s PoC as the sole qualified vendor proves that AIPro’s long range video analytics meet the strict reliability standards of national critical infrastructure. With the main project rollout scheduled for 2026, this system is set to become a core pillar of smart safety management at hydroelectric facilities. Building on this momentum, AIPro is already pushing the boundaries further by developing 240 meter ultra long range object detection technology . We plan to expand our legacy CCTV compatible smart surveillance solutions across hydroelectric plants, dams, and national river safety management networks. Powered by proprietary Zero to One long range detection algorithms and seamless legacy CCTV integration, AIPro was the only vendor out of three to pass KHNP’s 120m downstream access control PoC—gearing up for full deployment in 2026. 🔎 The wider and more hazardous a site is to monitor by human eyes alone, the more critical reliable, field tested AI becomes. ✔ AI powered perimeter access control ✔ Long range object detection AI ✔ Dam downstream safety monitoring ✔ Legacy CCTV AI integration ✔ Hydroelectric power plant video analytics ✔ Proprietary computer vision solutions