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Acmez Technologies Pvt. Ltd.

About Acmez Technologies

An enterprise technology company built on engineering discipline, security-first thinking and long client relationships.

About Acmez

Technology services built for enterprise impact

Consulting, engineering, cloud, security, digital growth, AI, data and managed operations.

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Technology solutions for modern organisations

Transformation, applications, cloud, security, integration, operations and dedicated teams.

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Acmez product catalogue

Enterprise suites, vertical SaaS platforms, connected modules and focused operations products.

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AI, Data & Intelligence

Object Detection

Engineering real-time object detection and spatial localization models (YOLO, Faster R-CNN) for visual tracking and automation.

Computer Vision & Language AI Service capability

Capability overview

What object detection involves

Object detection identifies and localizes multiple visual objects within an image or video frame, drawing precise bounding boxes around each item. We engineer real-time object detection systems using YOLOv8, Faster R-CNN and DETR architectures.

Our detection models track moving vehicles, pedestrians, industrial machinery, retail merchandise and safety hazard equipment.

We deploy low-latency object detection models onto cloud servers and edge devices, supporting real-time alerts, counting and spatial safety monitoring.

During the object detection engagement, our specialists work closely with your technical leads to establish tailored operational workflows, automated validation controls and clear deliverables for real-time object counting & tracking and safety & ppe compliance detection. From initial camera setup & field-of-view audit through to bounding box annotation, we embed continuous telemetry monitoring, structured documentation and risk mitigation rules tailored specifically for your organization's object detection goals and retail inventory & shelf monitoring requirements.

Object Detection delivery workshop

What is included

What the engagement covers

Real-Time Object Counting & Tracking

Counting vehicles in traffic lanes, visitors in retail stores or items on conveyor belts in real time.

Safety & PPE Compliance Detection

Detecting hard hats, safety vests, protective eyewear and hazardous proximity zones in workplace sites.

Retail Inventory & Shelf Monitoring

Locating out-of-stock items, misplaced products and planogram compliance on retail store shelves.

Autonomous Vehicle & Drone Perception

Engineering spatial detection pipelines for aerial drone inspection and autonomous mobile robots.

How we work

How we deliver object detection

Camera Setup & Field-of-View Audit

Analyzing camera angles, resolution, frame rates and target object scale across operational environments.

Bounding Box Annotation

Annotating training datasets with precise bounding box coordinates and object class labels.

YOLO & R-CNN Model Fine-Tuning

Training deep object detectors with multi-scale feature pyramids and spatial loss function tuning.

Tracking Algorithm Integration

Integrating ByteTRACK or DeepSORT algorithms to maintain persistent object identities across consecutive video frames.

Deployment & Edge Quantization

Quantizing model weights to INT8 precision for low-power edge inferencing on embedded hardware.

Related capabilities

Related capabilities in Computer Vision & Language AI

Video Analytics

Transforming raw security and operational video streams into automated real-time alerts, spatial heatmaps and operational metrics.

Visual Inspection Systems

Engineering automated inline optical quality control inspection systems for manufacturing assembly lines and industrial production.

Optical Character Recognition

Developing specialized OCR engines and pipelines to extract text from complex industrial labels, physical documents and images.

Natural Language Processing

Engineering NLP architectures, text mining systems and language processing pipelines to parse, extract and understand text data.

Questions & answers

Questions about Object Detection

Cannot find what you need? Our team responds to technical and commercial questions within one business day.

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Optimized YOLO models process 30 to 60 frames per second at 1080p resolution on standard GPU hardware or edge devices.

Next step

Discuss object detection with Acmez

Share what you need to change, build, integrate or support. We will map the practical next step.