VeriGuard — Product Counterfeit Detection System for FMCG, Cosmetics & Pharmaceuticals

A single serial code cannot be in Jakarta and Medan within thirty minutes. Packaging colors do not drift by a Delta E of 12 coming off the same printing press. Units do not show up in the market before their carton has left the warehouse. VeriGuard turns anomalies like these into a prioritized work queue — and evidence files you can hand to investigators. Built for brand protection and legal teams at FMCG, cosmetics, and pharmaceutical companies that are losing revenue to counterfeits but have no systematic way to find where those goods are circulating and who is selling them. Six independent signals Independent signals matter: a counterfeiter may defeat one of them, but cannot defeat them all at once without creating a new pattern that is even easier to spot. Cryptographic serials. Every unit receives a random 40-bit serial signed with HMAC-SHA256. Fabricated codes are rejected without touching the database — counterfeiters printing random labels fail in the first second, and the system cannot be mapped through guessing attacks. Tested with 20,000 random guesses: zero got through. Scan pattern analytics. A single scan proves nothing; the pattern does. Nine weighted rules catch impossible travel, scan floods, codes circulating before their production date, and even export batches leaking into the domestic market. Every rule returns a weight and a plain-language explanation. Packaging image forensics. Seven measurable metrics compare a photo of the unit against factory samples: CIE76 Delta E, DCT perceptual hash, Lab color distribution, print raster signature, fine detail retention, dimensional proportions, and relative sharpness. The output is not a single number but a score, a confidence level, each signal's contribution, and a heat map you can show directly to clients. Security zones. A hologram covering 4% of the packaging surface can disappear entirely without shifting the average Delta E by more than one point — because the remaining 96% stays identical. Brands mark their own critical areas with a drag-a-box editor, and those areas are scored separately. Supply chain aggregation. Unit → carton → pallet. Warehouses scan one carton label, not a hundred unit labels. And a unit that appears in the market when its carton was never shipped is no longer a suspicion — it is channel leakage, a different class of finding from counterfeiting: the goods are genuine, but the route is unrecorded. Consumer reports. Detection tells you that counterfeits exist. Consumer reports tell you where they were bought — and that is the only path to the seller, and from there to the supplier. The output is a ranking of the most frequently reported sellers, complete with the number of unique serials per seller. Investigator-ready evidence files Every case can be exported as a PDF containing server-timestamped scan events, comparison photos with their difference maps, the chain of custody for physical samples, and an appendix describing the methods and their limitations. The chain of custody is append-only and rejects entries that break the sequence — a chain that can be edited after the fact is worthless as evidence. Enterprise-grade integration Scoped API keys for packaging lines and ERP (no plant operator wants to issue 200,000 serials through browser clicks), GS1 DataMatrix support for brands already using it, sign-in through corporate identity providers (OIDC + PKCE: Azure AD, Google Workspace, Okta), notifications to Slack or Microsoft Teams via webhook, and HMAC key rotation without invalidating serials that are already printed. The consumer verification page can be installed as an app on a phone and keeps recording codes when there is no signal, then sends them automatically once the network is back. What this tool does not do This section is on the product page on purpose, not in a footnote. It is a screening tool, not legal proof. A "counterfeit" verdict means "prioritize for physical or laboratory testing", not a final ruling. That statement is printed on every PDF evidence file the system produces. QR codes can be photographed and duplicated. No printed code is immune to that. What changes is that duplication produces the clearest pattern of all — one code in six cities in a single day. Decision thresholds must be recalibrated using the brand's own genuine and seized samples before they can be trusted. The default settings are tuned on synthetic images. It does not crawl marketplaces on its own. Listing data comes in via CSV import or official partner APIs, because forced scraping shifts the legal risk onto the client. Demo The demo runs with your own products, at your office, with no internet connection. Bring two units: one confirmed genuine from your warehouse, and one suspected counterfeit from the market. If the system finds nothing, that is useful information too.

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KarhutlaVision — AI-Powered Early Detection System for Forest & Land Fires

KarhutlaVision monitors watchtowers, concession perimeters, peatland areas, patrol routes, and fire brigade posts/command posts in real time using AI computer vision (YOLO) to detect smoke, hotspots, and high-risk activity -- triggering alerts to field teams within seconds instead of waiting hours for manual reports. Unlike conventional CCTV systems, KarhutlaVision runs portably on site (edge deployment), so it keeps working even with limited internet connectivity -- ideal for watchtowers in remote locations that may not have stable bandwidth. 10 AI Detection Classes Normal Conditions, Light Smoke, Thick Smoke, Fire Spot/Open Flames, Embers/Hotspots, Spreading Smoke Haze, Land Burning Activity, Unauthorized Vehicles/Personnel in the Concession Area, Personnel Without PPE in Hazard Zones, and Fire Brigade Units in Operation -- each mapped to a severity level (high/medium/normal) and an operational category (Fire, Early Warning, Air Quality, Compliance, Security, Safety, Operations). Integrated Modules Login & Security -- encrypted authentication, tiered roles Dashboard & KPIs -- total smoke/fire detections today, active hotspots, monitored area (ha), incidents this month, average response time Multi-Camera CCTV Monitoring -- 1/2/4/6/9-camera grids, IP cameras (RTSP), USB webcams, or video files, each tagged by zone: Watchtower, Concession Perimeter, Peatland Area, Patrol Route, Fire Brigade Post/Command Post Recording & Playback -- replay camera recordings to investigate incidents Detection Testing -- upload images/videos to validate the AI model before connecting live cameras Alert Center -- tiered visual notifications, filters by category, complete log with zone & work shift Reports & Analytics -- daily detection charts (last 7 days) and object class distribution calculated from a permanent archive (not a limited memory buffer), CSV export Incident Management -- complete incident reports with photo evidence attachments (JPG/PNG/GIF/WEBP, validated by magic bytes), automatically embedded in PDF & Word exports Digital SOP Checklists -- custom checklists, filled in directly from the dashboard Field Officer Management -- officer records & assignments per zone/shift Camera Management -- add & manage cameras along with their location zones Telegram Bot Integration -- real-time notifications with camera & zone info, fully configured from the dashboard with no server restart AI Model Center & Model Training -- YOLO labeling & training right in the browser with no coding: upload a dataset, annotate bounding boxes, run training, monitor progress (loss, mAP), then deploy the trained `best.pt` as the active model User Management -- tiered access roles KarhutlaVision Assistant -- internal chatbot for operational data Q&A Settings -- auto-screenshot policy on alerts, Telegram configuration, and other system settings Why Choose KarhutlaVision The YOLO model is trained specifically for watchtower and forest/land concession scenarios (including peatland) -- not a generic model -- with 10 detection classes mapped directly to real operational and regulatory compliance risks. National forest and land fire penalties imposed on dozens of companies can reach hundreds of billions of rupiah per company, making early detection not just an operational tool but a financial and legal risk mitigation measure. Available as an Outright Purchase, Rental/Subscription, or Hybrid scheme to suit your company's budget. Ideal for industrial plantation forest (HTI) and plantation concession (HGU) holders, peatland concessions, and forestry/plantation groups with more than one watchtower that want to move away from manual supervision and paper-based reporting. Technical Specifications Built with Python (Flask + Flask-SocketIO) and a YOLO object detection model (Ultralytics/PyTorch), running portably on-premise/at the edge at watchtowers or command posts -- with no dependence on third-party cloud infrastructure, making it ideal for locations with limited internet bandwidth. Automatic installation via a single launcher file that detects available Python and NVIDIA GPU (CUDA). Report exports support PDF, Excel, and Word formats.

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MigasVision — AI Computer Vision System for Fuel Tanker Detection & Monitoring

MigasVision brings all field supervision of fuel distribution operations -- from depots and fuel stations, pipeline/access roads, tank farms, and well pads to entry and exit portals -- into a single AI computer vision (YOLO) dashboard. Your existing CCTV/RTSP cameras are analyzed in real time to detect overloaded tankers, open flames/smoking in hazardous areas, fuel leaks/spills, stopped or unauthorized vehicles, and personnel without PPE -- instantly triggering tiered alerts to field teams via the dashboard, Telegram, Email, and WhatsApp. The Enterprise edition adds an enterprise-grade security and operations foundation: login with two-factor authentication (2FA) and audit logs, per-camera DVR video recording, multi-site & multi-driver/operator management, digital SOP checklists (HSE/PTW), monthly compliance reports, and road congestion status per zone (depot/fuel station, pipeline/access road, entry-exit portal, tank farm, well pad) -- ideal for oil and gas companies with more than one facility. Integrated Modules Login & Security -- encrypted authentication, tiered roles, login audit log Operational Dashboard & KPIs -- real-time tanker & trip KPIs, multi-site filters, road congestion status per zone (Depot/Fuel Station, Pipeline/Access Road, Portal, Tank Farm, Well Pad) MigasVision Assistant (AI Chatbot) -- ask questions about operational data in Indonesian, free forever with no third-party AI token costs Real-Time CCTV Monitoring -- multi-camera grid, Video Wall mode for command centers Recording & Playback (DVR) -- continuous per-camera recording, automatic segmentation, retention configured in Settings Detection Testing -- upload images/videos to validate the AI model before connecting live cameras Alert Center & Notifications -- alert log by camera/zone/shift, Mark as Handled button, CSV/PDF export Reports & Analytics -- detection of overloaded tankers, open flames/smoking, fuel leaks/spills, personnel without PPE, stopped/unauthorized vehicles; tanker trip logs & incident-prone zone heatmaps Incident Management -- formal incident reports by shift supervisors with tanker license plate/unit number, location, and actions taken Digital SOP Checklists (HSE/PTW) -- custom checklists (e.g. Tanker Pre-Start Check, PPE & Load Compliance), filled in directly from the dashboard Driver & Operator Management -- driver records, driver's license number, tanker plate, incident history per driver Camera Management -- location zone & facility site tagging per camera for multi-site operations Telegram Bot Integration -- real-time notifications with photo evidence, anti-spam throttling AI Model Center & Model Training -- retrain detection models in-house without a vendor, with bounding box annotation right in the browser User Management -- Admin/Shift Supervisor/Operator roles Settings -- company info, dashboard theme, confidence threshold, alert data retention, Email (SMTP) & WhatsApp (API gateway) notifications Why Choose MigasVision The YOLO model is trained specifically for fuel distribution facility scenarios -- not a generic model. Detections map directly to real operational risks: tanker load compliance, safety in fire-hazard areas, and potential leaks/spills -- so every alert is relevant and actionable for field teams. The MigasVision Assistant answers operational questions straight from system data rather than relying on a paid generative AI chatbot -- with no ongoing token subscription costs. Ideal for fuel depots, large fuel stations, tank farm facilities, well pads, and oil and gas distribution companies with more than one facility that want to move away from paper-based manual supervision and conventional CCTV. Technical Specifications Built with Node.js + Express + PostgreSQL (Supabase), with YOLO-based object detection, deployed on serverless cloud infrastructure (Vercel) or on-premise with a GPU server for enterprise needs. DVR recordings are stored locally on your server, not in a third-party cloud.

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CoalVision — AI Computer Vision System for Coal Mining Truck Detection & Monitoring

CoalVision brings all field supervision of coal mining operations -- from hauling roads, weighbridges, and stockpiles to entry and exit portals -- into a single AI computer vision (YOLO) dashboard. Your existing CCTV/RTSP cameras are analyzed in real time to detect loaded trucks, overloaded trucks, uncovered loads, coal spillage on the road, unauthorized vehicles, and personnel without PPE -- instantly triggering tiered alerts to field teams via the dashboard, Telegram, Email, and WhatsApp. The Enterprise edition adds an enterprise-grade security and operations foundation: login with two-factor authentication (2FA) and audit logs, per-camera DVR video recording, multi-site & multi-driver management, digital SOP checklists, monthly compliance reports, and real API integration with weighbridge devices / ERP systems -- ideal for mining groups operating more than one mine site. 18 Integrated Modules, 10 AI Detection Classes Login & Security (2FA) -- encrypted authentication, optional 2FA, tiered roles, login audit log Operational Dashboard & KPIs -- real-time truck & trip KPIs, multi-site filters, road congestion status per zone CoalVision Assistant (AI Chatbot) -- ask questions about operational data in Indonesian, free forever with no third-party AI token costs Real-Time CCTV Monitoring -- multi-camera grid, Video Wall mode for command centers Recording & Playback (DVR) -- continuous per-camera recording, automatic retention, evidence for audits/investigations Detection Testing -- upload images/videos to validate the AI model before connecting live cameras AI Detection of 10 Object Classes -- loaded/empty trucks, heavy equipment, overloads, uncovered loads, load spillage, unauthorized vehicles, personnel without PPE, and more Alert Center & Notifications -- automatic escalation, multi-channel (Email/WhatsApp/Telegram), CSV/PDF export Reports & Analytics -- automatic truck counting, incident-prone zone heatmaps, monthly compliance reports Incident Management -- formal incident reports with chronology & actions taken Driver Management -- driver records, incident history per driver (cross-referenced with weighbridge data) Digital SOP Checklists -- custom checklists, filled in directly from the dashboard Camera Management & Multi-Site -- zone & mine-site tagging per camera Telegram Bot Integration -- real-time notifications with photo evidence, anti-spam throttling External API Integration (Weighbridge/ERP) -- real webhooks for digital weighbridge data AI Model Center & Model Training -- retrain AI models in-house without a vendor, with annotation right in the browser User Management & Access Roles -- Admin/Shift Supervisor/Operator roles, personal notification preferences Backup, Restore & Audit Log -- export/import the entire system state, complete audit log Why Choose CoalVision The YOLO model is trained specifically for coal mine haul road scenarios, not a generic model -- its 10 detection classes map directly to real operational risks (load compliance, road safety, environment). The CoalVision Assistant answers questions about operational data straight from the system database rather than relying on a paid generative AI chatbot -- so there are no ongoing token subscription costs. Weighbridge data and camera alerts complement each other through real webhook API integration with weighbridge devices or ERP software. Ideal for coal mining companies, hauling contractors, and mining groups with more than one mine site that want to move away from paper-based manual supervision and conventional CCTV. Technical Specifications Built with Node.js + Express + PostgreSQL (Supabase), with YOLO-based object detection, deployed on serverless cloud infrastructure (Vercel) or on-premise with a GPU server for the Enterprise package. DVR recordings are stored locally on your server, not in a third-party cloud.

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MigasPro — Upstream Oil & Gas Production Optimization & Loss Control System

MigasPro is a production optimization and loss control system for upstream oil and gas companies, built on a single principle: every screen in the application maps to one of four money paths -- adding barrels, stopping lost barrels, lowering cost per barrel, or accelerating decisions. 5 Integrated Modules Production & Deferment -- no gap between potential and actual production slips through without its cause being recorded. A Pareto of causes shows which ones cost the most. Well Intervention -- the rig queue is ranked by NPV per rig day, not by who submitted the request first. Custody Transfer & Transport Losses -- losses are calculated on Net Standard Volume (ASTM temperature correction + BS&W), with anomaly scoring per route and per driver. Pump Integrity -- pumps heading toward failure are flagged before they stop, so planned replacements take the place of sudden breakdowns. Chemicals & Produced Water -- chemical dosing is evaluated against its own success metrics; the water handling cost per barrel of oil is made visible. Two Layers of AI Local analytics engine -- always on, no API key required: decline curves (Arps), production anomaly detection (outlier-resistant statistics), job success probability from historical records, intervention job NPV, transport loss anomaly scores, pump failure risk scores, and chemical dosing optimization. Claude narrative layer (optional) -- reads the local engine's results and drafts recommended actions in Indonesian, along with their order of priority. Why Choose MigasPro Access restrictions are enforced on the server per role (8 granular roles), not merely hidden in the interface. Every change to a figure is recorded in the Audit Log along with who made it -- which is what makes the system usable for loss investigations and suspected fraud. Economic parameters (oil price, opex, exchange rate, discount rate) are set in one place and automatically drive every rupiah calculation across the application. Ideal for upstream oil and gas companies, KSO operation partners, and oilfield operators that want a single source of truth for production, workovers, custody transfer, pump integrity, and chemicals -- instead of spreadsheets scattered across many divisions. Technical Specifications Built with Node.js + Express + PostgreSQL (Supabase), deployed on serverless cloud infrastructure (Vercel) -- scaling automatically with load, with no servers to manage yourself.

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SawitKita — Integrated Palm Oil Plantation ERP Software, from Estate to CPO

SawitKita is palm oil plantation ERP software that integrates the entire business flow of a palm oil company -- from the estate, FFB weighbridge, and palm oil mill (POM) to CPO sales -- in a single web-based palm oil management system. No need for separate tools for each division: the FFB weighbridge (Fresh Fruit Bunches) module feeds directly and automatically into your financial reports. 10 Integrated Modules, 60+ Palm Oil Plantation Software Features Estate / Plantation -- plantation blocks, harvest rotation schedules, field activities, fertilizer stock, interactive plantation map (GIS), stock taking FFB & Weighbridge -- automatic gross/tare weighing, AI-assisted FFB grading, digital scale integration (IoT), receipt printing with QR code Mill Monitoring -- oil extraction rate (OER), equipment calibration, work orders, machine downtime, spare part stock Certification & Traceability -- manage ISPO/RSPO certificates, compliance audits, trace FFB from the estate all the way to CPO CPO Finance & Logistics -- general journal, general ledger, Balance Sheet & Income Statement generated automatically from journals, cash flow, bank reconciliation, receivables/payables, fixed assets & depreciation, budget vs. actual, invoices & Certificate of Analysis Procurement -- vendors, purchase orders with multi-level approval workflows HR & Payroll -- attendance, worker productivity, automated payroll, leave management, worker training Vehicle Fleet -- operational vehicles, fuel logs, service history Analytics & Forecasting -- OER, CPO price, and harvest yield projections based on historical data Administration & Security -- granular access roles (7 roles), 2FA authentication, per-field audit log, backup & restore Why Choose SawitKita as Your Palm Oil ERP Software Every module is connected -- FFB weighbridge transactions flow automatically into financial reports, with no double entry. Granular access roles per division (Weighbridge Operator, Field Foreman, Mill Manager, QA, Finance, HR, Management) ensure each person only sees and accesses what is relevant to their job. Financial reports (Balance Sheet, Income Statement, Cash Flow) are calculated automatically from accounting journals rather than separate manual entry -- and full traceability lets you trace a single FFB ticket back to its originating plantation block and certification. Ideal for palm oil plantation companies, FFB cooperatives, and independent palm oil mills (POM) that want to move beyond Excel and fragmented systems -- and are looking for palm oil plantation software that is truly integrated from the field to the financial statements. For reference on the certification standards supported by this system, see the official RSPO website and the official ISPO website. Technical Specifications Built with Node.js + Express + PostgreSQL (Supabase), deployed on serverless cloud infrastructure (Vercel) -- scaling automatically with load, with no servers to manage yourself. Ideal for companies that want a system that is always online without the hassle of managing infrastructure. Frequently Asked Questions About Palm Oil ERP Software What is palm oil ERP software? Palm oil ERP software is a system that unifies plantation operational data (harvesting, FFB weighbridge, mill) with company financial data in one platform, so management can monitor productivity and costs per block in real time. Does SawitKita support ISPO and RSPO certification? Yes. SawitKita's Certification & Traceability module manages ISPO/RSPO documents and traces FFB from the estate to CPO for compliance audit purposes. Can SawitKita be used by FFB cooperatives or independent mills, not just large companies? Yes. SawitKita is designed to be modular, making it suitable for large-scale plantation companies, FFB cooperatives, and independent palm oil mills (POM) alike.

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Outreach Engine — Scrape Leads from Google Maps, Find Emails & Run Cold-Email Campaigns

4.6(5)99x viewed28x sold

A complete B2B outreach system: scrape businesses from Google Maps worldwide, find & verify their emails, then run compliant cold-email campaigns -- all from a single dashboard. This Google Maps scraping software and cold-email tool helps sales and marketing teams build a B2B lead pipeline automatically from one dashboard. Why Choose This Software This scraping and cold-email software uses data from Google Maps Platform. Please make sure your usage complies with the official Google Maps Platform terms.

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Web Cerdas — All-in-One Marketplace Platform for Courses, Services & Software

5.0(24)322x viewed121x sold

The Web Cerdas Platform is a ready-to-use marketplace solution that combines three digital business models in a single website — online courses, custom development services, and ready-made software — complete with payments, a member area, and an admin panel. What's Inside Course Marketplace — tiered pricing packages, batch schedules, seat quotas, certificates Services Marketplace — custom quote system with price negotiation, down payment & staged final payment Software Marketplace — ready-made product listings with gallery, features, and flexible CTAs (buy now or ask first via WhatsApp) Dual payment system — Midtrans (local) & PayPal (international), with automatic currency detection Integrated blog with SEO (meta tags, sitemap, automatic RSS) Genuine ratings & reviews from buyers, plus view and sales counts as social proof Built-in AI chat assistant to answer visitor questions 24/7 Affiliate program with automatic commissions Bilingual (Indonesian/English) with automatic translation Full admin panel — manage products, orders, invoices, and real-time visitor analytics Why Digital Businesses Need This Most digital entrepreneurs have to juggle 3-4 separate tools to sell courses, take custom service orders, and market software products — not to mention separate payment systems, blogs, and chat support. Web Cerdas brings everything together into one platform, one database, and one admin panel. Who It's For Training institutions, custom development agencies, sellers of ready-made software, or any combination of the three — exactly how PT Cerdas Inovasi Digital has been running its own business since 1995. This marketplace software is ideal as ready-to-use source code for an online course business, custom development services, and a software marketplace all on one platform. Why Choose Web Cerdas This marketplace software is a great fit for training institutions, service agencies, and digital product sellers who need a single integrated platform. Check out our course catalog and services catalog as real-world examples of this platform in action.

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PodRepurpose — Turn 1 Podcast Episode Into 90+ Ready-to-Post Content Pieces

5.0(24)370x viewed111x sold

PodRepurpose is an AI podcast repurposing tool that turns a single podcast episode into more than 90 ready-to-post content pieces — LinkedIn posts, Twitter/X threads, Instagram captions, newsletters, show notes, blog articles, FAQs, and email sequences — all automatically in minutes. What You Get From a single episode upload, the system generates a complete content package for multiple platforms at once: LinkedIn — 3 tone variants plus a full LinkedIn article version Twitter/X — long thread, short thread, and 5 standalone tweets Newsletter & Email Sequence — a newsletter plus 3 marketing emails (promotion, engagement, education) Show Notes & Blog Article — SEO-friendly show notes with timestamps, plus an 800+ word blog article Instagram, Facebook, Threads — native captions for each platform with different tones Quote Cards & Video Clips — 8-12 quote cards and short video clip suggestions with timestamps Plus FAQs, key takeaways, and a YouTube title + description Why Podcasters Need This Manually creating derivative content from a single podcast episode usually takes 4-6 hours — writing captions for each platform, making show notes, putting together a newsletter, one by one. As a result, many podcasters just upload the episode and stop there, even though the episode content is full of insights that could be used for months. PodRepurpose cuts that process down to 2-4 minutes — upload once, and AI trained specifically for B2B content instantly generates the entire content package, ready for a light edit and immediate publishing. How It Works Upload the episode file (MP3, MP4, YouTube URL, or RSS feed — up to 3 hours long), the system automatically transcribes it with 95%+ accuracy, then AI generates the entire 90+ content package in one process. You just edit directly in the app, copy with one click, and publish to each platform. Who It's For Best suited for B2B podcasters — founders, consultants, and executives who use podcasting to build authority and business pipeline. Supports more than 99 languages, so it can even be used for Indonesian-language episodes. Data Security Audio and transcripts are never used to train AI models, audio files are automatically deleted from the server after the transcription process is complete, and all AI-generated content is 100% yours.

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AI Workplace Safety Detection — Fire/Smoke, PPE & Smoking Detection

4.9(19)311x viewed65x sold

AI Workplace Safety Detection Software is a YOLO (You Only Look Once) based computer vision solution that turns the CCTV cameras you already own into a smart occupational health and safety (OHS) monitoring system — working 24 hours a day without fatigue, with no need to replace camera hardware, and no need for a dedicated IT team to operate it. What It Detects This system reads every video frame from CCTV/RTSP cameras or webcams in real time, then detects three main categories of workplace risk: Fire and smoke detection — recognizing flames and smoke early, before they grow and become hard to control. Personal Protective Equipment (PPE) detection — monitoring whether workers are wearing helmets, safety vests, gloves, masks, protective goggles, and safety shoes according to OHS standards. Smoking violation detection in restricted areas — recognizing smoking activity in high-risk zones such as flammable material warehouses or production areas. Why Companies Need This Manual monitoring by security guards or OHS supervisors has natural limitations: humans cannot watch dozens of camera points at once for 24 hours straight without getting tired or missing something. As a result, PPE violations are often only discovered during routine audits — not at the time they happen — and small fire risks are often only noticed after they've grown larger. This AI detection software closes that gap with consistent automatic monitoring, so incidents can be prevented before they actually happen, rather than just recorded after the fact. How It Works As soon as the system detects one of the three risk categories above, an automatic notification is sent immediately to the HSE/OHS team via Telegram, complete with photo evidence and the time of the incident. Every event is neatly logged in the Alert Center with a severity level (high for fire/smoke, medium for smoking violations), giving the OHS team measurable data for monthly reports and compliance evaluations. Suitable For Which Industries This software is suitable for: Factories and manufacturing companies required to maintain worker PPE compliance on the production floor Warehouses with fire risk from flammable materials Construction projects that need to monitor helmets and safety vests of field workers Mining companies and heavy industrial areas with strict OHS standards Any facility that already has CCTV/RTSP cameras and wants to maximize their function without new hardware investment The Technology Behind It Built on YOLO architecture (deep learning object detection) known for being fast and accurate for real-time object detection. The multi-camera dashboard lets you monitor all CCTV points from a single screen, with a built-in licensing system to manage the number of active cameras based on the package purchased. Built and developed by PT Cerdas Inovasi Digital, a software development company, custom development service provider, and technology training organizer that has been operating since 1995 to the present.

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Software

VeriGuard — Product Counterfeit Detection System for FMCG, Cosmetics & Pharmaceuticals

KarhutlaVision — AI-Powered Early Detection System for Forest & Land Fires

MigasVision — AI Computer Vision System for Fuel Tanker Detection & Monitoring

CoalVision — AI Computer Vision System for Coal Mining Truck Detection & Monitoring

MigasPro — Upstream Oil & Gas Production Optimization & Loss Control System

SawitKita — Integrated Palm Oil Plantation ERP Software, from Estate to CPO

Outreach Engine — Scrape Leads from Google Maps, Find Emails & Run Cold-Email Campaigns

Web Cerdas — All-in-One Marketplace Platform for Courses, Services & Software

PodRepurpose — Turn 1 Podcast Episode Into 90+ Ready-to-Post Content Pieces

AI Workplace Safety Detection — Fire/Smoke, PPE & Smoking Detection

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MigasPro — Upstream Oil & Gas Production Optimization & Loss Control System

VeriGuard — Product Counterfeit Detection System for FMCG, Cosmetics & Pharmaceuticals

MigasVision — AI Computer Vision System for Fuel Tanker Detection & Monitoring

KarhutlaVision — AI-Powered Early Detection System for Forest & Land Fires

SawitKita — Integrated Palm Oil Plantation ERP Software, from Estate to CPO

CoalVision — AI Computer Vision System for Coal Mining Truck Detection & Monitoring