Manufacturing Safety
PPE, worker safety, forklifts, tools, zones and production-area events.
Ask about RIFE EDGE AI Vision System – On-Premise Video Analytics for Safety & Operations
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INCustom manufacturing and bulk order support in India.
QQuote support for hospitals, schools, offices and enterprises.
SAccessories, configuration and dispatch guidance available.
System Concept
One edge layer between your cameras and your response team
The project is engineered around the camera network and the AI applications required at each zone.
01 INPUT
CCTV / IP Cameras
Compatible camera streams are validated for protocol, codec, resolution, frame rate, lighting and viewing angle.
02 EDGE
Local AI Processing
Selected video analytics run locally at the site on project-sized edge hardware.
03 DETECTION
AI Application Library
The project can use configured applications for people, objects, zones, hazards, access and operations.
04 ACTION
Alerts & Workflows
Detected events can support alerts, visual review and project-specific response workflows.
Core Capability Stack
Hardware + AI apps + site engineering
RIFE EDGE AI is not a single fixed camera feature. The solution is configured as a complete site system around the buyer's required detections and existing infrastructure.
Edge hardware
Sized to camera channels and AI workload.
Sized to camera channels and AI workload.
AI applications
Selected according to use case and camera view.
Selected according to use case and camera view.
Camera / VMS validation
Compatibility verified during project design.
Compatibility verified during project design.
Workflow integration
Alert recipients and integrations defined per project.
Alert recipients and integrations defined per project.
AI Application Library
Configure only the detections your site needs
PPE compliance
Helmet, vest, gloves, eyewear where supported.
Helmet, vest, gloves, eyewear where supported.
Restricted-zone entry
Virtual fences and defined areas.
Virtual fences and defined areas.
Line crossing
Configured directional boundary events.
Configured directional boundary events.
Loitering
Time-based presence in defined zones.
Time-based presence in defined zones.
People counting
Camera-based counts where view is suitable.
Camera-based counts where view is suitable.
Queue & occupancy
Operational visibility for selected areas.
Operational visibility for selected areas.
Fire / smoke / spill
Visual hazard monitoring where applicable.
Visual hazard monitoring where applicable.
Tool / object visibility
Project-defined object and location workflows.
Project-defined object and location workflows.
Forklift safety
Selected forklift and worker-safety events.
Selected forklift and worker-safety events.
Visual inspection
Project-specific repetitive quality checks.
Project-specific repetitive quality checks.
Camera tamper
Monitoring for selected camera-view changes.
Monitoring for selected camera-view changes.
Access / tailgating
Camera-visible events in controlled areas.
Camera-visible events in controlled areas.
Deployment Architecture
Designed around the site — not a generic box
Camera count, AI workload, camera views, network design, storage requirements, integrations and alert workflows are assessed before the final edge hardware and licensing configuration is quoted.
- Single-zone or multi-zone projects
- Multi-camera and multi-site expansion
- Existing CCTV reuse where technically compatible
- Project-specific application selection
Project Assessment
Tell us the cameras. Tell us the problem. We map the EDGE AI configuration.
For a project quotation, share your camera models, number of feeds, site locations, required detections, alert recipients and any VMS, ERP or workflow integration requirements.
EDGE AI Vision System India
A complete EDGE AI ecosystem for enterprise video analytics
For Google and for buyers, the product is connected to RIFE's deeper technical and industry content so each major question has a dedicated answer.
EDGE AI Vision Systems
Overview of RIFE's on-premise AI vision platform and use cases. Architecture & Deployment
How camera feeds, edge processing and deployment design fit together. Cameras, VMS & Integrations
Compatibility and enterprise integration considerations. Privacy & Cybersecurity
Data control, privacy and cybersecurity considerations for enterprise deployment. Accuracy, Testing & Validation
Why site conditions and validation matter for computer-vision projects. EDGE AI Appliances & Hardware
Hardware sizing and deployment considerations for camera workloads.
Overview of RIFE's on-premise AI vision platform and use cases. Architecture & Deployment
How camera feeds, edge processing and deployment design fit together. Cameras, VMS & Integrations
Compatibility and enterprise integration considerations. Privacy & Cybersecurity
Data control, privacy and cybersecurity considerations for enterprise deployment. Accuracy, Testing & Validation
Why site conditions and validation matter for computer-vision projects. EDGE AI Appliances & Hardware
Hardware sizing and deployment considerations for camera workloads.
Industry Solutions
Explore EDGE AI by operating environment
Manufacturing
Worker safety, tool tracking and production visibility. Data Centres
Physical security, access monitoring and asset visibility. Healthcare
Selected safety, occupancy and operational monitoring use cases. Retail
People counting, queues, occupancy and selected security workflows. Schools & Campuses
Campus safety, zones and selected security applications. Logistics & Warehouses
Safety, restricted zones, people and asset-related workflows.
Worker safety, tool tracking and production visibility. Data Centres
Physical security, access monitoring and asset visibility. Healthcare
Selected safety, occupancy and operational monitoring use cases. Retail
People counting, queues, occupancy and selected security workflows. Schools & Campuses
Campus safety, zones and selected security applications. Logistics & Warehouses
Safety, restricted zones, people and asset-related workflows.
BUYING GUIDE
Safety & PPE Monitoring Guide
Understand camera positioning, site conditions, detection goals and deployment planning before choosing an AI vision system.
Read the EDGE AI buying guide →PILOT
Start with a focused pilot
A pilot can validate camera views, operating conditions and selected detections before a wider rollout.
View the RIFE EDGE AI pilot program →TECHNICAL FAQ
Deployment & Support
Review common questions about deployment, integration, support and technical planning.
Read the technical FAQ →Frequently Asked Questions
RIFE EDGE AI Vision System FAQs
Can RIFE EDGE AI work with existing CCTV or IP cameras?
Potentially, yes. Camera reuse depends on technical compatibility, including protocol, codec, resolution, frame rate, lighting, viewing angle, network capacity and the detection task. RIFE validates the camera environment during project design.
Is RIFE EDGE AI cloud-based or on-premise?
The core deployment described on this page is based on local edge / on-premise video analytics. The final architecture is defined according to the buyer's project requirements.
What can an EDGE AI vision system detect?
Applications can be configured for selected tasks such as PPE compliance, restricted-zone entry, line crossing, loitering, people counting, queue and occupancy monitoring, camera tamper, visual hazards, tool or object visibility and other supported computer-vision workflows.
Can the system be used for manufacturing safety?
Yes. Manufacturing projects can be designed around camera-visible safety and operational use cases such as PPE monitoring, forklift-area safety, restricted zones, tool visibility, selected hazards and visual inspection tasks.
How is the edge hardware selected?
Hardware sizing depends on camera-channel count, video characteristics, AI workload, site architecture, storage requirements and the applications required. It should be engineered for the project rather than selected as a generic fixed box.
Can RIFE EDGE AI be deployed at multiple locations?
Projects can be planned for focused zones, multiple cameras or broader multi-site deployments. The final architecture depends on the number of locations and the required workflows.
Does every project require the same AI applications?
No. The application mix is selected according to the operational objective, camera view and site conditions. A factory, data centre, hospital and retail site will normally require different configurations.
What information should we provide for a quotation?
Share the site type, camera models, number of feeds, locations, required detections, alert recipients and any VMS, ERP or workflow integration requirements. This allows RIFE to map the appropriate deployment architecture before quotation.