AI for Safety & Productivity in Warehouse

For Safety Executives

Turn multi-site chaos into one trusted safety score.

Helps in building regulations with scenario based AI by unifying all sites with real-time safety scores, verified data, and one AI-powered dashboard you can trust.

For Operations Leaders

Turn scattered issues into structured insights.

Helps to track where time and efficiency are lost using computer vision powered workforce heat maps, enabling faster fixes, lower downtimes, and smarter cost control.

For Frontline Workers

Turn risky moments into real-time protection.

Helps you work with confidence, knowing our AI solution alerts you of the minutest of risks in real-time so that you can head home safe.

Most CCTV and VMS platforms are built for recording and monitoring and AI video analytics solutions for incident detections. viAct is built for real-time prevention and decision-making using AI.

🕒 Typical Deployment Timeline

Day 0–2: Site Assessment & Planning

• Camera infrastructure review (existing CCTV, coverage gaps)

• Use-case mapping (PPE, fall detection, zone monitoring, etc.)

• Deployment strategy (edge vs hybrid setup)

👉 Outcome: Clear deployment blueprint—no guesswork

Day 3–7: System Integration (Fastest Phase)

• Connect viAct to existing IP cameras

• Install viMOV/viMAC edge devices (plug-and-play)

• Configure AI models based on site risks

👉 Outcome: AI starts processing live video feeds

Week 2: Calibration & Optimization

• Fine-tune detection accuracy for your environment

• Adjust alert thresholds (reduce false positives)

• Zone-wise configuration (high-risk areas, restricted zones)

👉 Outcome: High-precision, site-specific AI performance

Week 3–4: Full Deployment & Team Onboarding

• Dashboard & alert system fully activated

• Training for EHS, operations, and management teams

• Reporting & analytics setup

👉 Outcome: Fully operational AI safety system across site

⚡ What Makes viAct Fast to Deploy?

• No camera replacement needed (works with existing CCTV)

• Edge AI (viMOV, viMAC & more) enables on-site processing—no heavy cloud setup

• Modular rollout → start with one zone, scale to entire site

• Minimal IT dependency → designed for on-ground teams

🚧 Real-World Deployment Scenarios

• Single site (existing CCTV): Live in 3–7 days

• Mid-size project (multiple zones): 2–3 weeks

• Enterprise rollout (multi-site): 4–8 weeks (phased deployment)

🔌 Step 1: Connect Cameras via RTSP

viAct integrates directly with your existing cameras using RTSP (Real-Time Streaming Protocol).

• Pulls live video streams from IP cameras or NVR/VMS

• Supports most standard CCTV brands

• Secure authentication (IP, port, username/password)

• No changes to your existing camera setup

👉 Outcome: Live camera feeds are instantly accessible to the AI engine

🧠 Step 2: Real-Time AI Video Processing

Once connected, viAct starts analyzing the video streams in real time.

AI models detect:

• PPE violations (helmet, vest, gloves)

• Unsafe actions (running, climbing without harness)

• Restricted zone breaches

• Worker proximity to machinery or hazards

👉 No human monitoring required—AI watches every frame, 24/7

🚨 Step 3: Instant Event Detection & Alerts

When a safety risk is identified:

• Alerts are triggered within seconds

• Notifications sent via dashboard, SMS, or integrations

• Events are tagged with timestamp + visual snapshot

👉 Enables immediate intervention, not delayed reporting

📊 Step 4: Dashboard, Logs & Insights

All detections are converted into structured, usable data:

• Zone-wise compliance tracking

• Incident history with video evidence

• Trend analysis (daily, weekly, monthly)

• Audit-ready reports
  

⚙️ Deployment Modes (CCTV-Only Setup)

You can choose based on your IT/security requirements:

• Cloud Processing → Fastest setup, minimal infrastructure

• On-Premise Server → Full control over data

• Edge (Optional Upgrade) → Lower latency & offline capability

👉 Start simple, upgrade anytime.

🚧 What You Get with CCTV-Only AI

• Real-time safety monitoring

• Reduced reliance on manual supervision

• Faster incident detection and response

• Actionable insights from video data
  

⚠️ Limitations (Transparent but Strategic)

• Blind spots where cameras are not installed

• No worker tracking outside camera view

• Limited performance in extreme visibility constraints
  

These gaps can later be solved with edge AI or wearables—but are not required to begin.

viAct’s platform is available across major global regions — including Hong Kong, Singapore, Saudi Arabia, UAE, Qatar, Oman, Bahrain, Kuwait, and other GCC countries, as well as Vietnam, Southeast Asia, Australia, Europe, and North America. (And yes — we’re open to deploying in new locations too!)

Yes! viAct is committed to the highest levels of safety, security, and data privacy compliance, in alignment with global standards including GDPR. Here’s how we ensure that:

1. Privacy-by-Design with GDPR alignment:

Our platform follows a privacy-first design model and complies with key GDPR principles. We blur faces and sensitive elements (e.g. number plates) using automated detection and obfuscation techniques to ensure worker anonymity and data minimization.

2. Secure cloud and edge processing:

viAct uses Amazon Web Services (AWS) with encrypted storage for secure data hosting. For added privacy, our Edge AI solution processes video locally on-device, ensuring no raw visual data leaves the site unless required—minimizing exposure. Cloud, On-Prem & Hybrid deployement options are also available.

3. Privacy-Preserving AI & Machine Learning:

Our models are trained using privacy-preserving deep learning methods, incorporating differential privacy techniques to protect individuals from model inversion and data leakage during inference and prediction.

4. Real-Time Data Protection through Edge AI:

By running AI models on-site through edge computing, viAct avoids unnecessary cloud transfers and aligns with data minimization best practices. Only anonymized metadata is transmitted to viHUB, our centralized analytics dashboard.

5. Transparent data handling and consent protocols:

We follow GDPR Article 4(11) on consent and ensure that clients are fully informed. All data used is obtained with clear permissions, with options for opt-in/out and role-based access control built into the platform.

1. PRIVACY & RESPONSIBLE AI: A guide for GDPR Compliances in Construction Technology - https://www.viact.ai/gdprinconstructiontechnology 

2. The Ultimate 5 Minute Guide AI Hosting: Cloud, On-Prem & Hybrid; Which One to Choose? - https://www.viact.ai/aihostingebook