AI Video Analytics Services

Thousands of hours of camera footage, and almost none of it ever reviewed? Optimity Logics builds AI video analytics solutions that turn live and recorded video into structured, searchable, real-time insight. Using computer vision, object detection, multi-object tracking, and vision-language models, we help you monitor safety, understand customer and vehicle movement, automate inspection, and respond to incidents faster, on the edge, in the cloud, or both.

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AI Video Analytics
Trusted by leading brands worldwide

Outcome first

We define the event or metric you need, such as an intrusion, a queue length, or a missing helmet, before choosing any models.

Site and camera assessment

Camera placement, angle, resolution, lighting, and network capacity are reviewed, because they decide what accuracy is achievable.

Real footage, real validation

Models are trained and tested on footage from your own sites, covering night, weather, occlusion, and crowding.

Edge, cloud, or hybrid by need

We place inference where latency, bandwidth, privacy, and cost make the most sense for each deployment.

Alerts that matter

Rules, thresholds, and confidence scoring are tuned to cut false alarms, so operators trust and act on every notification.

Privacy by design

Face blurring, region masking, and minimal retention are built into the pipeline rather than added as an afterthought.

Works with your cameras

Standards such as RTSP and ONVIF let us connect to existing IP cameras and video management systems without replacing hardware.

Continuous model improvement

Hard cases and false detections are fed back into retraining, so the system keeps improving on your own footage.

70+

AI and ML specialists

300+

Engineering specialists

2700+

Projects delivered

1800+

Clients served

15+

Years in business

AI Video Analytics Solutions for Safety, Operations, and Insight

We design AI video analytics solutions that connect directly to your cameras, video management systems, and business applications. Our end-to-end services cover use-case definition, model development, edge and cloud deployment, alerting, dashboards, and ongoing optimisation, helping organisations improve safety, reduce losses, streamline operations, and make footage searchable instead of archived.

Safety, Security & Incident Detection

Intrusion & Perimeter Detection

Detect people and vehicles entering restricted zones or crossing virtual lines, day and night, with alerts sent to your control room or mobile devices.

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PPE & Safety Compliance Monitoring

Check for helmets, vests, gloves, and other protective equipment, and flag restricted-area violations on industrial and construction sites.

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Fire & Smoke Detection

Visual detection of flames and smoke from standard cameras, supporting earlier response in warehouses, plants, and outdoor sites.

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Fall & Person-Down Detection

Pose-based detection of falls and prolonged inactivity for care facilities and lone-worker environments, with privacy-conscious design.

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Crowd Counting & Density Analysis

Estimate occupancy and crowd density in real time to manage capacity, queues, and safety at venues, stations, and events.

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Anomaly & Unusual Event Detection

Spot abandoned objects, loitering, and unusual movement patterns by learning what normal activity looks like for each camera.

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Business & Operational Video Analytics

People Counting & Footfall Analytics

Count entries, exits, and visitor flow with anonymous tracking, giving retail and venue teams reliable traffic data.

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Queue & Dwell-Time Analytics

Measure wait times, queue length, and how long people spend in zones, and trigger staffing alerts when thresholds are crossed.

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Heatmaps & Store Layout Insights

Visualise movement and attention across floors and shelves to guide layout, merchandising, and staffing decisions.

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Traffic, Vehicle & ANPR Analytics

Vehicle counting, classification, speed estimation, and automatic number plate recognition for roads, parking, and site access.

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Warehouse & Forklift Safety Analytics

Detect near-misses between people and vehicles, blocked exits, and unsafe stacking in logistics and distribution centres.

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Visual Quality Inspection

Inline defect detection on production lines using high-speed cameras and trained models, with results logged against each batch.

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Video AI Platform & Engineering

Custom Video Analytics Platform Development

End-to-end platforms covering camera ingestion, inference, event management, dashboards, and APIs, built around your workflows.

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Edge AI Video Deployment

Run optimised models directly on edge devices such as NVIDIA Jetson, reducing latency and bandwidth by processing video on site.

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Video Search & Summarisation

Search footage with natural language and generate event summaries using vision-language models and vector search.

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VMS & Camera Integration

Integrate with existing IP cameras, NVRs, and video management systems using RTSP, ONVIF, and vendor APIs.

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Video Data Annotation & Model Training

Frame and clip annotation, dataset curation, and model training and evaluation tailored to your environments.

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Video Privacy & Anonymisation

Automated blurring of faces and licence plates, zone masking, and retention controls to support privacy and compliance.

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Ready to Turn Your Camera Footage Into Actionable Intelligence?

From site assessment and model development to edge deployment and monitoring, Optimity Logics helps organisations build video analytics systems that are accurate, secure, and ready for real-world conditions.

Discuss Your Video AI Project

Edge, Cloud, or Hybrid Video Analytics?

Where video is processed affects latency, bandwidth, privacy, and cost. The right deployment depends on how many cameras you run, how fast you must react, and what your network can carry.

Matrix
Pre-built API
Fine-tuned model
Custom model
Latency
Higher, depends on network round trip
Low for urgent events, flexible for the rest
Lowest, processed next to the camera
Bandwidth use
High, video streams are sent to the cloud
Moderate, only events and clips are uploaded
Low, only metadata and alerts leave the site
Scalability and heavy models
Easy to scale, access to large GPUs
Edge for real-time, cloud for deep analysis
Limited by on-site hardware capacity
Right when
Centralised analysis and large-scale search matter
You need real-time alerts and long-term analytics
Latency, privacy, or poor connectivity rule out streaming

Structured Process We Follow to Build AI Video Analytics Systems

From site assessment and data collection to model development, edge deployment, and monitoring, we follow a disciplined approach that makes video analytics accurate, dependable, and privacy-conscious.

01

Discovery and site assessment

Use-case definition, success metrics, camera and network review, and privacy requirements. Produces a written recommendation and a fixed estimate before development begins.

02

Data collection and annotation

Footage sampling across lighting, weather, and crowding conditions, followed by careful annotation and dataset curation.

03

Model development and training

Detection, tracking, segmentation, or action recognition models selected, trained, and compared against a baseline on held-out footage.

04

Validation in real conditions

Pilot on live cameras with measured precision, recall, and false alarm rates, and tuning of thresholds and alert rules.

05

Deployment and integration

Optimised models deployed to edge or cloud, connected to cameras, VMS, alerting channels, and business systems.

06

Monitoring and continuous improvement

Accuracy tracking, camera health checks, drift review, and scheduled retraining on newly labelled hard cases.

How We Secure and Govern Video AI Systems

Privacy and responsible use

Video often contains personal data. We apply data minimisation, face and plate blurring, zone masking, short retention periods, and clear access rules. Remote biometric identification is heavily restricted under the EU AI Act, so we scope such use cases carefully with legal guidance.

Regulations and standards we build to

GDPR, CCPA and CPRA, HIPAA for healthcare settings, SOC 2, ISO 27001, the EU AI Act, and state biometric laws such as Illinois BIPA where relevant.

Friendly AI robot illustration

Accuracy and bias evaluation

Models are tested across lighting, camera angles, clothing, and demographics, with precision, recall, and false alarm rates reported per scenario, not just as one headline number.

Security across the video pipeline

Encrypted streams and storage, network segmentation for camera networks, signed model and firmware updates for edge devices, role-based access to footage, and audit logs of who viewed what.

AI Video Analytics Technologies and Tools We Use

We choose each tool for the job it does in the video pipeline, from decoding streams and detecting objects to tracking, edge optimisation, search, and alerting.

Object detection

Ultralytics YOLORT-DETRDetectron2MMDetection

Segmentation

Segment AnythingMask R-CNNDeepLab

Multi-object tracking

ByteTrackBoT-SORTDeepSORTOC-SORT

Pose estimation

MediaPipeMMPoseOpenPose

Action recognition

SlowFastVideoMAETimeSformerX3D

OCR and number plate recognition

PaddleOCREasyOCRTesseract

Vision-language and video search

CLIPLLaVAQwen-VLGemini

Video processing

FFmpegGStreamerOpenCVNVIDIA DeepStream

Camera protocols and ingestion

RTSPONVIFWebRTCHLSMediaMTX

Model optimisation

TensorRTONNX RuntimeOpenVINOTensorFlow Lite

Inference serving

NVIDIA TritonKServeBentoML

Edge hardware

NVIDIA JetsonHailoGoogle Coral

Events and messaging

Apache KafkaMQTTRedisWebSockets

Video storage and search index

Amazon S3Kinesis Video StreamsMilvusQdrantElasticsearch

Annotation and datasets

CVATLabel StudioRoboflowLabelbox

Training and MLOps

PyTorchTensorFlowMLflowDVCWeights & Biases

Managed video AI services

Amazon Rekognition VideoGoogle Video Intelligence APIAzure AI Video Indexer

Dashboards, backend and infrastructure

ReactNext.jsFastAPIPostgreSQLGrafanaDockerKubernetesTerraform

Turn Video Data into Operational Insights

We develop AI video analytics solutions that analyze recorded footage and supported video streams to detect defined events, track objects, measure activity, and support operational monitoring.

Video Analytics for Retail Stores

Video Analytics for Retail Stores

Retailers can analyze store footage to estimate footfall, understand queue patterns, measure occupancy, and identify selected operational events while applying appropriate privacy safeguards.

  • Customer Footfall Counting
  • Queue Length Estimation
  • Store Occupancy Analysis
  • Customer Movement Analysis
  • Visual Event Detection
Video Analytics for Manufacturing

Video Analytics for Manufacturing

Manufacturers can analyze production footage to monitor selected process events, track objects across work areas, and identify defined safety or operational conditions for review.

  • Production Line Monitoring
  • Object Tracking
  • Process Event Detection
  • Safety Zone Monitoring
  • Visual Inspection Support
Video Analytics for Transportation

Video Analytics for Transportation

Transportation operators can use video analytics to count vehicles, measure traffic activity, monitor designated areas, and identify defined events around roads and transport facilities.

  • Vehicle Counting
  • Traffic Flow Analysis
  • Congestion Detection
  • Loading Zone Monitoring
  • Transport Facility Activity Analysis

Why Teams Choose Optimity Logics for AI Video Analytics

Four things separate this from a typical video AI engagement. Discovery ends in a fixed approach rather than a range that moves. Models are validated on your own footage under real conditions, not only on benchmark datasets. The video AI team draws on a 300+ person engineering organisation with fifteen years of integration work behind it. And you own the code, the trained models, the pipelines, and the documentation from day one.

Discovery produces a number, not a range that moves

Every engagement opens with discovery ending in a fixed estimate. Scope changes are change requests, not surprises.

Validated on your own cameras

We test on footage from your actual sites and report precision, recall, and false alarm rates for the conditions you really face.

Works with the cameras you have

Support for RTSP, ONVIF, and common video management systems means you can add AI without replacing existing hardware.

Edge and cloud expertise

We optimise models for edge devices and also build scalable cloud pipelines, so the architecture fits your needs, not our preferences.

Privacy-first engineering

Anonymisation, masking, and retention controls are designed into the system from the first sprint.

Full ownership, zero lock-in

Code, trained models, deployment scripts, and documentation are yours from day one, on infrastructure you control.

WHAT CLIENTS SAY

Behind every testimonial is a business problem solved, a system improved, or a product successfully launched. Here is how our clients describe their experience working with Optimity Logics.

Let’s Build Something Great Together

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We are grateful that Optimity Logics joined our project as a Next.js / React / Tailwind developer. Optimity Logics is a top-tier team that delivers features and fixes at a very fast pace with high quality. The quality and reliability of their work significantly reduce testing and project management effort. They communicate effectively: they are responsive, proactive, and kept us informed throughout the entire project. We believe Optimity Logics is a highly valuable asset to any project and our top choice when seeking to expand our front-end engineering team.

- CTO (Greece)

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Optimity Logics was an absolute pleasure to work with! They did a wonderful job building our website on Contentful and went above and beyond by providing best practices and guidance for our team to use moving forward. They operated as dedicated and thoughtful members of our organization throughout the project. The end result delighted everyone on our team, including exec leadership. I would recommend them to anyone looking for web or IT work. I hope to work with them again in the future!

- PR Manager (USA)

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I am thrilled to share my experience working with Optimity Logics. They did an outstanding job migrating our production server flawlessly, ensuring our product's stability. Additionally, they identified and resolved an existing issue with the AutoDesk Viewer, including 360 View, Floor Plan, 3D Model, and Gallery View integration. I am extremely impressed with their responsiveness, expertise, and dedication to this task. Optimity Logics' work exceeded my expectations, and I will definitely keep them in mind for future projects. Highly recommended!

- CEO (UK)

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I recently had the pleasure of collaborating with Optimity Logics on a development project, and their performance exceeded all expectations. The team demonstrated exceptional expertise, professionalism, and dedication throughout the project, showcasing a profound understanding of the task at hand. Their technical proficiency was evident in every aspect, from meticulous planning to flawless execution, combined with a proactive approach to problem-solving and a commitment to delivering high-quality results. Communication was seamless, with regular updates and prompt resolutions to any concerns, ensuring smooth progress from start to finish. Optimity Logics went above and beyond to meet our needs, and their contributions were invaluable to the project's success. I am immensely grateful for their work and would not hesitate to recommend them to anyone seeking skilled and reliable development partners.

- CEO (Nigeria)

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The Optimity Logics team showcased outstanding expertise in Fullstack development. Their collaborative efforts resulted in timely delivery and exceptional communication throughout the project. I would confidently engage their team again and wholeheartedly recommend them to others.

- Founder and Senior Manager (USA)

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Optimity Logics did an amazing job bringing complex user stories and requirements to life through their invaluable knowledge and expertise. We appreciate all the feedback, guidance, and encouragement they provided to our junior developers. They are easy to communicate with and ask the right questions. They were consistent with daily scrum meetings and displayed great leadership skills.

- Sr. Ventures Manager (USA)

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The Optimity Logics team excelled in delivering the project within a tight timeframe, maintaining exemplary coding standards, and achieving remarkable results. Their proficiency in React, Node.js, MongoDB, Express, and AWS was evident. I highly recommend their top-notch development services and look forward to future collaborations.

- Product Owner (UK)

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Optimity Logics excelled with our website project, delivering exceptional results promptly. Their efficiency and dedication to excellence impressed us. Dealing with Optimity Logics is always a pleasure; their team exemplifies professionalism and expertise. We eagerly anticipate future collaborations with such a standout company.

- Founder and CEO (USA)

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Optimity Logics executed a flawless server migration, showcasing AWS expertise. Their swift work, coupled with invaluable support, was remarkable. We extend heartfelt gratitude for their outstanding service.

- General Manager (USA)

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