Transform Existing CCTV Cameras Into
Intelligent, High-Precision Visual Sensors
Connect RTSP/ONVIF streams from your installed facility cameras to industrial edge compute. Automate hydrological staff gauge reading, workplace EHS safety compliance, and real-time perimeter anomaly detection. 100% on-premise local inference with zero cloud dependency and zero submerged sensor maintenance.
End-to-End On-Premise Computer Vision Pipeline
A non-invasive edge architecture connecting installed CCTV feeds, high-throughput on-site computing, and facility control systems.
Installed Camera Stream Ingestion
Pulls high-resolution video via standard RTSP/ONVIF protocols from existing IP cameras or NVRs across your private local LAN.
On-Premise Edge AI Inference
Industrial NVIDIA Jetson micro-servers execute neural inference entirely offline. Video never leaves your private intranet.
Precision Visual Metric Extraction
Deep learning models convert raw video into calibrated telemetry: water gauge levels (cm), worker PPE compliance, or vehicle license plates.
Multi-Channel Automated Actuation
Triggers physical site sirens, dispatches rich WhatsApp alerts with snapshot evidence, and streams data into SCADA/PLC registers.
Submerged Sensors vs Optical Camera Vision
Why infrastructure operators and industrial plants migrate from submerged probes to non-contact computer vision:
Three Proven Industrial Vision Domains
Field-tested computer vision modules engineered to solve mission-critical operational challenges across your facilities.
LIHAT.id Central Vision Management
Unified multi-camera control center. Orchestrates hundreds of live CCTV streams simultaneously, configures early warning alert thresholds, calibrates virtual tripwires, and routes telemetry in real time without cloud latency.
Water & Hydrology Vision
Staff Gauge Optical Reading & Sluice Gate Debris EWS
Cameras point at physical staff gauge markings (peilschaal). The system continuously reads water elevation in millimeters and detects debris jams at sluice gates. Because no sensors are submerged, equipment is completely immune to flood washouts.
Industrial Safety & EHS Vision
PPE Compliance & Exclusion Red-Zone Monitoring
Monitors personnel in high-risk zones, such as crane swing radiuses, cutting machines, and forklift corridors. Detects mandatory safety helmets and high-visibility vests, activating on-site sirens in sub-80ms upon violation.
Smart City & Traffic Vision
License Plate Recognition (ANPR) & Vehicle Classification
Reads Indonesian vehicle license plates and classifies passing vehicles at industrial estate entry gates, logistics yards, port facilities, or urban intersections.
Engineered for Heavy-Duty Industrial Demands
A ruggedized vision architecture ensuring 24/7 monitoring continuity without costly camera overhaul.
100% On-Premise Air-Gapped Ready
Proprietary plant video feeds never route to public clouds. All neural inference executes locally within your private intranet.
Bring Your Own Camera (BYOC)
Universal compatibility with RTSP & ONVIF standards from Hikvision, Dahua, Axis, Uniview, Hanwha, and Bosch IP cameras.
Tropical Weather Adaptive AI
Pre-trained vision models calibrated for torrential tropical rainfall, river silt turbidity, intense glare, and pitch-black nights.
Sub-80ms Edge Neural Inference
Harnesses NVIDIA Jetson compute to deliver safety warnings and water surge alerts within split fractions of a second.
Autonomous Edge Offline Resilience
Continuous 24/7 standalone monitoring and local alarm triggers that function uninterrupted even during full internet outages.
Direct Engineering Support
Our dedicated Computer Vision & IoT engineering specialists provide hands-on site surveys, calibration, and SCADA integration.
Selected Field Case Studies
Real-world field trials and production deployments running on-site with LIHAT.id edge vision systems:
Seedling Growth Tracking & Automated Census
Overhead cameras in the nursery area automatically count polybag seedlings and record foliage canopy development, replacing tedious manual headcounts.
Campus Perimeter Boundary Monitoring
Connects existing security camera feeds to on-premise vision analytics, detecting boundary crossing anomalies along remote perimeter points after hours.
Haul Truck Driver Fatigue & Microsleep Detection
In-cabin edge AI camera units monitor operator drowsiness on night shifts, sounding an instant audible cabin alarm before dangerous lane departures occur.
Comprehensive Technical Support from Audit to Go-Live
Our specialized computer vision engineers assist with each stage of deployment to ensure high accuracy and zero disruption.
View Comprehensive Engineering ServicesCCTV AI Readiness Audit
Optical Assessment & Feasibility Study
Thorough inspection of optical pitch/yaw angles, sensor resolutions, lux illumination, field-of-view, and LAN bandwidth capacity to verify AI inference readiness without requiring new cameras.
Custom AI Model Training
Proprietary Dataset Annotation & Fine-Tuning
Training specialized neural network architectures for your facility's unique targets (plant anomalies, seedling phenotypes, custom uniform PPE, driver fatigue, etc.) with high calibrated precision.
On-Premise Industrial Edge Commissioning
Turnkey Edge Server & Multi-Camera Setup
Hardware configuration of high-throughput edge nodes (NVIDIA Jetson / Industrial IPC) right inside your facility. Video inference runs 100% locally with near-zero latency and absolute privacy.
SCADA, PLC, & Enterprise Integration
Industrial Protocols & Multi-Channel Alerting
Routing AI telemetry into existing SCADA, factory PLCs, ERP, or Command Center consoles via REST API, Webhooks, MQTT, or Modbus TCP. Instant alerting to WhatsApp and site sirens.
5 Phases Toward Successful Go-Live
Structured engineering workflow to guarantee high inference precision and seamless integration without disrupting facility routines.
Optical Survey & Feasibility
Physical inspection of existing cameras, viewing angles, ambient lux lighting, and video sample feeds at your site.
Dataset Collection & Labeling
Acquisition and ground-truth polygon annotation of target objects in varying weather and shift lighting.
Model Training & TensorRT
Neural network fine-tuning and compilation with NVIDIA TensorRT for optimal throughput at the edge.
Hardware Commissioning
Vibration-resistant installation of industrial Jetson micro-servers and local LAN network cabling.
SCADA & Alert Integration
Interconnection with PLC relays, Modbus registers, and executive notification channels.
Maintenance Packages & Operational SLAs
Guaranteed system uptime, rapid incident dispatch, and long-term model calibration aligned with your operational requirements.
Essential Support
Ideal for small single-site facilities requiring standard maintenance and remote support.
Professional SLA
For active manufacturing plants and industrial sites with 24/7 continuous operations.
Enterprise Custom
Tailored for multi-branch industrial conglomerates and critical national infrastructure.
Need a Camera Readiness Audit or On-Site PoC?
Our Computer Vision engineers analyze sample video feeds from your existing cameras and prepare on-premise Proof of Concept (PoC) tests in 3 to 7 business days.
Transforming CCTV from Passive Footage
Into Active Automated Monitoring
LIHAT.id was created not merely to store passive recordings, but as an autonomous vision computing platform transforming dormant CCTV cameras into real-time millisecond sensors.
Operational Bottlenecks Solved by LIHAT.id
Our non-contact vision approach directly overcomes the core vulnerabilities of conventional industrial instrumentation.
Eliminating Physical Sensor Failures
Mechanical and submerged ultrasonic probes in rivers and plant conduits frequently jam from silt, floating trash, and corrosion. LIHAT.id monitors safely via non-contact optical camera reading.
Overcoming Operator Visual Fatigue
Human attention drops by over 90% after 20 minutes of watching multiple CCTV monitors. LIHAT.id continuously analyzes video feeds 24/7 with unwavering 99.2% benchmark accuracy.
Slashing Capital Expenditure (CapEx) up to 60%
Zero requirement for expensive cabling overhaul or dedicated sensor purchases. LIHAT.id connects directly to installed RTSP feeds and on-site NVR systems.
National Engineering Heritage Since 2016
LIHAT.id is engineered and backed end-to-end by PT Nocola IoT Solution — an established Indonesian industrial technology firm providing Industrial IoT, Computer Vision, and automation systems with engineering hubs in Cilacap and Jakarta (PIDI 4.0 - Ministry of Industry).
Frequently Asked Questions
Practical answers regarding the installation and day-to-day operation of LIHAT.id.
Discuss Your Facility Monitoring Needs
Consult with our engineering team regarding your existing cameras and evaluate a Proof of Concept.
Requirements Consultation Form
Complete this form to connect directly with our technical solution engineers via official WhatsApp.
Inquiries are addressed directly by Technical Solution Architects within 24 hours on business days.
PT Nocola IoT Solution
Headquarters (Cilacap):
Jl. Ir. H. Djuanda No. 117, Sidanegara, Cilacap, Jawa Tengah 53223
Jakarta Branch (PIDI 4.0):
Gedung PIDI 4.0 Kemenperin Lt. 8, Jl. Raya Kebayoran Lama No. 41, Jakarta Selatan 11560
All discussions, stream samples, and technical blueprints are safeguarded by mutual non-disclosure (NDA) standards.