LIHAT.id Engine v3.4|

Turn Existing CCTV Streams Into Autonomous Edge Sensors

Maximize your installed camera infrastructure without purchasing fragile physical sensors. PT Nocola IoT Solution’s Vision AI reads staff gauge water elevations, enforces industrial PPE compliance, and detects perimeter anomalies in real time with sub-100ms local edge inference.

Universal IP Cam Support (RTSP/ONVIF)
100% On-Premise (Air-Gapped)
Sub-100ms Edge AI Latency
Zero Physical Sensor Maintenance
CAM-01 [LIVE ANALYTICS]
24.2 FPS18ms
TARGET: STAFF GAUGE PEILSCHAAL
STATUS: NORMAL RUNNING
NVIDIA Jetson Edge Inference
99.4% Accuracy

Trusted by Research Institutions, Heavy Industries, and Infrastructure Operators

Bogor Palm Oil Research CenterAgro & Nursery
IPB UniversitySmart Campus
Manado Gold Mining OperationsHeavy Fleet
River Basin & Dam AuthorityWater Resources
Cikarang Steel ManufacturingIndustrial Safety
ARCHITECTURE & TECHNICAL PIPELINE

How LIHAT.id Processes Streams Locally at the Edge

From raw RTSP video streams to real-time SCADA/PLC actuation within milliseconds—without streaming feeds to third-party public clouds.

01

Existing CCTV Ingestion

Direct RTSP/ONVIF ingestion from legacy or modern IP cameras, NVRs, and industrial encoders without rewiring or camera replacements.

RTSP / ONVIF / H.265 / H.264
02

On-Premise Edge Inference

Deep neural networks execute locally on NVIDIA Jetson micro-servers positioned right inside your facility. Fully offline and air-gapped.

TensorRT / YOLOv11 / DeepStream
03

Calibrated Telemetry Extraction

Visual frames convert into actionable verified metrics: millimeter water levels, PPE compliance percentages, or license plate strings.

Geometric Calibration / ANPR OCR
04

SCADA, PLC & Webhook Actuation

Trigger physical alarm sirens upon hazardous intrusion, actuate automatic gate barriers, or publish telemetry directly to DCS systems.

Modbus TCP / MQTT / REST API

Comparison: Submerged Contact Probes vs LIHAT.id Optical Vision

Why enterprise operators and government utilities are replacing high-maintenance submerged probes with optical computer vision.

Physical Medium Contact & Hazards
Submerged probes submerged in mud/water, prone to corrosion & debris fouling
Optical cameras positioned high on poles/bridges, 100% non-contact
Replacement Costs During Storms
High (submerged sensors wash away or short-circuit during torrential flash surges)
Zero (monitoring optics stay in dry, safe elevated zones)
Data Truth Verification (False Alarms)
Requires manual dispatch of field technicians to verify raw voltage readings
Instant visual verification via real-time HD snapshot on your dashboard
Maintenance & Recalibration
Frequent manual lifting, scrubbing silt, and physical recalibration of submerged probes
Digital software calibration executed remotely from web console
Total Cost of Ownership (TCO)
High due to repeated sensor procurements + specialized underwater armored cabling
Save up to 60% by leveraging existing IP camera feeds and industrial edge nodes
Want to benchmark efficiency on your facility’s existing cameras?
ENTERPRISE AI VISION PORTFOLIO

Three Production-Grade Vision Intelligence Modules

Turnkey, field-tested computer vision modules designed to overcome mission-critical industrial challenges.

CORE PLATFORM

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.

Sub-100ms Latency
1000+ Multi-Stream
Water & Hydrology Vision
Water Utilities & Hydrology

Water & Hydrology Vision

Automated Staff Gauge Reading & Flood EWS

Autonomously reads staff gauge (peilschaal) centimeter calibrations and monitors river discharge surges via CCTV, replacing submerged ultrasonic probes prone to debris washouts.

Detection Method:Staff Gauge Optical Reading
Margin of Error:±0.5 cm at 25-meter range
Flood Resistance:100% Zero Submerged Wear
Alert Protocols:WhatsApp, Telegram, REST, MQTT
Gauge reading precision within <0.5 cm margin
Automated debris & trash blockage detection at sluice gates
Instant Early Warning System (EWS) sirens & WhatsApp alerts
24/7 operational reliability with IR and low-light enhancement
Explore Solution
Industrial Safety & EHS Vision
Safety & EHS Governance

Industrial Safety & EHS Vision

Automated PPE Compliance & Virtual Red-Zone Defense

Continuously monitors Personal Protective Equipment (PPE) compliance and prevents worker fatalities in hazardous industrial zones, crane operation radiuses, and manufacturing bays.

Target Objects:Hardhat, Hi-Vis Vest, Goggles
Inference Time:<80ms on Jetson Orin
Zone Geometry:Virtual Polygon Red-Zone
Actuation:Site Sirens, Strobes, Modbus
Mandatory PPE detection: Hardhats, hi-vis vests, goggles, and gloves
Virtual Red-Zone perimeter enforcement for overhead cranes & machinery
Forklift-to-pedestrian proximity & blind-spot collision warnings
Automated daily safety audit logs for compliance verification
Explore Solution
Smart City & Traffic Vision
Urban Mobility & Highways

Smart City & Traffic Vision

ANPR License Plate Recognition & Flow Analytics

Instant optical reading of Indonesian license plates with 98%+ precision, 5-category vehicle classification, and dynamic traffic signal optimization integrated with ATCS.

Classification:5 Vehicle Classes + Pedestrians
Speed Detection:Calibrated up to 120 km/h
Parking Vision:Illegal stopping & slot density
Flow Analysis:V/C ratio & delay heatmaps
Automatic Number Plate Recognition (ANPR) for all plate categories
5-class vehicle categorization (motorcycles, sedans, buses, small trucks, heavy trailers)
Queue density, throughput volume, and average travel speed estimation
Illegal parking detection and wrong-way movement violation capture
Explore Solution
ENGINEERING DISTINCTIONS

Engineered for Harsh Industrial Realities

We provide hardened, field-ready vision systems designed to operate where conventional software falters.

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-100ms Edge Neural Inference

Harnesses NVIDIA Jetson Orin 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.

< 100ms
Edge Inference Latency
0 Units
Submerged Contact Sensors
99.4%
Optical Reading Precision
24/7
Autonomous Operational Duty
FIELD OPERATIONAL PROOF

Proven Deployments Across Critical Sectors

See how leading enterprises and public institutions optimize safety and operational throughput with LIHAT.id.

Seedling Phenotyping & Autonomous Leaf Counting
Bogor Palm Oil Research Center (PPKS)
Commercial Greenhouses & Nurseries
Agribusiness & Nursery

Seedling Phenotyping & Autonomous Leaf Counting

Client Challenge:

Manual visual counting of thousands of oil palm seedlings in nursery polybags was slow and subjective. Delayed detection of stunted growth or nutrient deficits compromised commercial stock quality.

LIHAT.id Solution:

Implemented computer vision automated tracking to measure seedling height, frond count, and foliar color gradations from overhead cameras. Results stream to an automated grading dashboard.

75%
Time Saved
99.2%
Grading Accuracy
Sub-mm
Measurement

"Eliminated human counting error across thousands of polybags daily and cut research census cycles from days to 15 minutes."

VISION AIPALM NURSERYPHENOTYPING
Hauler Operator Microsleep & Fatigue Vision System
Open-Pit Gold Mining Operations
64 Haul Units & Heavy Fleet Manado
Mining & Heavy Fleet

Hauler Operator Microsleep & Fatigue Vision System

Client Challenge:

Operator drowsiness on nocturnal shifts in giant haul trucks posed extreme collision hazards along narrow mountain pit roads.

LIHAT.id Solution:

Installed in-cabin Edge AI vision hardware tracking eye closure duration (>1.5s), blink tempo, yawning, and gaze distraction. Directly fires audible cab buzzers in <100ms.

96.2%
Detection Accuracy
0 Cases
Fatal Collisions
<100ms
Buzzer Latency

"Protected equipment operator lives, averted catastrophic fleet downtime, and achieved flawless EHS regulatory compliance."

MINING SAFETYMICROSLEEP AIFLEET VISION
Autonomous Campus Perimeter Guard & Behavioral AI
IPB University (Dramaga Campus)
250-Hectare Campus Distributed Network
Higher Ed & Smart Campus

Autonomous Campus Perimeter Guard & Behavioral AI

Client Challenge:

A 250-hectare forested campus with 120+ camera feeds made continuous human monitoring impractical, resulting in delayed responses to boundary incursions.

LIHAT.id Solution:

Deployed AI vision perimeter guard distinguishing human intruders from wildlife, coupled with loitering and abandoned object detection linked directly to mobile patrol dispatch.

85%
Breach Reduction
<4 Min
Dispatch Response
120+ Feeds
Camera Network

"Transformed passive video security into proactive rapid-response deterrence without adding costly physical guard posts."

SMART CAMPUSPERIMETER AISECURITY
Remote Staff Gauge Reading & Flood Sluice Trash Detection
West Java River Basin Authority
Sluice Gates & Basin Monitoring Stations
Water Resources & Dams

Remote Staff Gauge Reading & Flood Sluice Trash Detection

Client Challenge:

Submerged ultrasonic and pressure probes repeatedly washed away or shorted during violent seasonal flash floods.

LIHAT.id Solution:

Mounted LIHAT.id vision processing onto existing pole cameras. The model reads painted centimeter staff gauge markings and monitors sluice gate debris jams 24/7.

65%
OPEX Savings
99.4%
Reading Precision
<10 Sec
EWS Surge Alarm

"Maintained critical flood telemetry when traditional submerged sensors failed, protecting downstream agricultural communities."

HYDROLOGYSTAFF GAUGEFLOOD EWS

Have a Specific Industrial Challenge at Your Facility?

PT Nocola IoT Solution vision engineers perform on-site surveys, benchmark your existing CCTV feeds, and calibrate dedicated deep learning models tailored to your operational requirements.

ENGINEERING & DEPLOYMENT

From Camera Readiness Audits to SCADA Integration

Our turnkey engineering methodology ensures rapid, risk-free enterprise computer vision deployments.

View Comprehensive Engineering Services
CCTV AI Readiness Audit
Phase 01: Optical Survey
1 - 2 Weeks

CCTV 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.

AI Feasibility Study & Installed CCTV Audit
Field of View (FoV) Simulation & Blindspot Analysis
RTSP Latency Profiling & Bandwidth Sizing
Integrated System Architecture Blueprint
Deliverable: Feasibility Report & Architecture Blueprint
Custom AI Model Training
Phase 02: Deep Learning
2 - 4 Weeks

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.

Field Dataset Collection & Ground-Truth Labeling
YOLO / Vision Transformer Fine-Tuning
TensorRT Optimization for Edge Hardware
Rigorous Benchmark Validation (Precision/Recall >95%)
Deliverable: Custom Deep Learning Weights & Validation Report
On-Premise Industrial Edge Commissioning
Phase 03: Edge Deployment
1 - 3 Weeks

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.

Industrial Edge Hardware Setup (NVIDIA Jetson / x86 IPC)
Centralized Multi-Camera RTSP Pipeline Ingestion
Air-Gapped Architecture (100% Fully Functional Offline)
Automated Watchdog Recovery & Failover Protection
Deliverable: Turnkey System Ready for 24/7 Continuous Operation
SCADA, PLC, & Enterprise Integration
Phase 04: Enterprise Integration
Scoped per project

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.

Real-Time REST API & Webhook Dispatch
Industrial Field Protocols (Modbus TCP, MQTT, OPC-UA)
Multi-Channel Alerting (WhatsApp, Telegram Bot, Sirens)
Customized Command Center & Executive BI Dashboards
Deliverable: End-to-End Integrated Data Pipeline
IMPLEMENTATION METHODOLOGY

5 Phases Toward Successful Go-Live

Structured engineering workflow to guarantee high inference precision and seamless integration without disrupting facility routines.

01

Optical Survey & Feasibility

Physical inspection of existing cameras, viewing angles, ambient lux lighting, and video sample feeds at your site.

02

Dataset Collection & Labeling

Acquisition and ground-truth polygon annotation of target objects in varying weather and shift lighting.

03

Model Training & TensorRT

Neural network fine-tuning and compilation with NVIDIA TensorRT for optimal throughput at the edge.

04

Hardware Commissioning

Vibration-resistant installation of industrial Jetson micro-servers and local LAN network cabling.

05

SCADA & Alert Integration

Interconnection with PLC relays, Modbus registers, and executive notification channels.

SERVICE LEVEL AGREEMENT (SLA)

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.

8x5 Remote Support
Remote troubleshooting via secure VPN
Quarterly model precision calibration
Critical OS security patches
24-hour response time SLA
Monthly operational summary report
Most Popular

Professional SLA

For active manufacturing plants and industrial sites with 24/7 continuous operations.

24/7 Incident Hotline
Direct 24/7 emergency incident hotline
Monthly dataset fine-tuning & model refinement
Dedicated Technical Account Manager
Sub-4 hour response time SLA
Emergency on-site dispatch support
Hardware failover hot-spare replacement

Enterprise Custom

Tailored for multi-branch industrial conglomerates and critical national infrastructure.

Custom Dedicated Team
Custom mission-critical response SLA (<1 hour)
On-premise dedicated resident engineer option
Continual multi-camera model evolution
Custom ERP & SCADA feature co-development
Full API & database direct access

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.

ABOUT PRODUCT: LIHAT.ID

Design Philosophy & Architecture LIHAT.id Vision Engine

LIHAT.id was created not merely to record passive footage, but as an autonomous vision computing platform transforming dormant CCTV cameras into real-time millisecond sensors.

Operational Bottlenecks Solved by LIHAT.id

Our sensor-less intelligence approach addresses the core limitations of conventional industrial monitoring.

01

Eliminating Physical Sensor Failures

Mechanical or submerged ultrasonic probes in rivers and plant conduits frequently jam from debris and corrosive silt. LIHAT.id monitors safely via non-contact optical cameras.

02

Overcoming Operator Visual Fatigue

Human attention drops by up to 90% after 20 minutes of monitoring continuous CCTV video walls. LIHAT.id analyzes feeds 24/7 with continuous 99.2% benchmark accuracy.

03

Slashing Capital Expenditure (CapEx) up to 60%

No need for costly cabling overhaul or camera replacements. LIHAT.id mounts directly onto existing RTSP feeds and on-site NVR systems.

4 Engineering Pillars of LIHAT.id

Technical foundations ensuring system resilience under demanding industrial and field conditions.

Sensor-less Optical Metrology

Extracts real-time water gauge heights (peilschaal), object dimensions, and license plates without submerged probes or inductive loops.

Sub-80ms Real-Time Edge AI

High-speed local neural inference on NVIDIA Jetson & IPC nodes to actuate machine interlocks and sirens without network delay.

100% Air-Gapped On-Premise

Video streams execute entirely within your private local intranet. Zero raw video frames ever escape to public clouds.

Universal RTSP & ONVIF Ready

Deploys directly over installed IP cameras from Hikvision, Dahua, Uniview, Axis, and Bosch with zero vendor lock-in.

POWERED BY PT NOCOLA IOT SOLUTION

Engineering Heritage & Innovation Since 2016

LIHAT.id is engineered and backed end-to-end by PT Nocola IoT Solution — an established technology bridge providing Industrial IoT, Computer Vision, and automation systems across Indonesia.

100+ Enterprise Clients
50+ In-House Engineers
Cilacap • Jakarta PIDI 4.0
TECHNICAL FAQS

Frequently Asked Questions by IT & Operations Teams

Transparent technical answers regarding data security, network bandwidth, and legacy hardware compatibility.

Not at all. LIHAT.id is designed under the Bring Your Own Camera (BYOC) standard. As long as your cameras support standard streaming protocols such as RTSP (Real-Time Streaming Protocol) or ONVIF (Hikvision, Dahua, Uniview, Axis, Hanwha, Bosch, etc.), LIHAT.id connects seamlessly without voiding camera warranties.
Have other specific questions?
Consult directly with our Technical Solution Architect.
CONSULTATION & DEMO

Discuss Vision AI Requirements for Your Facility

Request a complimentary camera readiness audit and schedule an on-premise Proof of Concept (PoC) session with our engineering team.

Requirements Consultation Form

Complete this form to connect directly with our technical solution engineers via official WhatsApp.

Your data is strictly confidential and used solely for technical follow-up.

Direct Response SLA

Inquiries are addressed directly by Technical Solution Architects within 24 hours on business days.

Technical Support Hotline:+62 851-6152-1615
Chat Official WhatsApp: +62 851-6152-1615
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

Official Work Email:bd@nocola.co.id
Office Telephone:+62 851-6152-1615

All discussions, stream samples, and technical blueprints are safeguarded by mutual non-disclosure (NDA) standards.