MokSa.AI
Description
🖼️ Tool Name:
MokSa.AI
🔖 Tool Category:
AI-powered video intelligence & surveillance platform; it falls under the category of analytics/monitoring tools for operational efficiency and loss prevention.
✏️ What does this tool offer?
MokSa.AI enables businesses (particularly retail, public spaces, food-safety, hospitality) to use existing camera systems and apply AI-driven video analytics for shoplifting detection, employee efficiency tracking, customer foot-traffic heat-mapping, and safety/compliance monitoring.
⭐ What does the tool actually deliver based on user experience?
• Real-time theft/shoplifting detection and instant alerts for suspicious behaviour.
• Employee efficiency metrics: mobile usage during work, clock-in/out, adherence to protocols.
• Store/area heat-maps of customer traffic, time spent in aisles, people counts for layout optimisation.
• Plug-and-play with existing camera infrastructure (RTSP, legacy cameras) avoiding heavy hardware upgrade.
• Privacy-first approach: focuses on object/behaviour detection rather than facial recognition.
🤖 Does it include automation?
Yes — MokSa.AI leverages automation extensively:
• Automatically processes video streams (objects, people, behaviour patterns) and triggers alerts without manual monitoring.
• Automatically aggregates analytics (counts, heat-maps, efficiency stats) for decision-making dashboards.
• Scalable deployment: capable of integrating many camera streams, often with cloud or hybrid architecture for continuous monitoring.
💰 Pricing Model:
Primarily enterprise/SaaS-based. Custom pricing depending on number of cameras/streams and features used.
🆓 Free Plan Details:
No publicly detailed full free tier appears; likely a demo/trial is available.
💳 Paid Plan Details:
Pricing examples: for a stream “per hour” cost model (~US$0.19/hr per stream) was documented for certain usage on AWS marketplace.
🧭 Access Method:
• Web-based SaaS platform — connects to existing camera systems.
• Mobile / tablet apps exist for monitoring.
🔗 Experience Link: