Advanced ANPR Tech SDK Development

**PROJECT DOCUMENT: FREELANCER REQUIREMENT – ANPR SDK DEVELOPMENT**

Development of Offline ANPR (Automatic Number Plate Recognition) SDK

Project Objective:
To develop a high-performance, offline ANPR SDK capable of real-time license plate detection and recognition from IP camera streams, optimized for Indian road conditions.



**Project Scope:**
The selected freelancer/team will be responsible for designing and developing a modular ANPR SDK that can be integrated into edge devices or local servers. The SDK must process live RTSP streams and provide structured outputs via APIs.


**Functional Requirements:**

1. Real-time video stream processing (RTSP / IP cameras)
2. Vehicle and number plate detection
3. Character segmentation and OCR
4. Output structured data:

* Vehicle number
* Timestamp
* Image snapshot
5. Support for:

* Day and night conditions
* Motion blur handling
* Non-standard Indian number plates
6. Offline operation (no cloud dependency)

Technical Requirements:**

* Strong experience in Computer Vision and Deep Learning
* Hands-on experience with:

* YOLO / SSD (object detection)
* OCR models (CRNN, LPRNet, Tesseract improvements)
* Experience with:

* OpenCV
* PyTorch / TensorFlow
* RTSP stream handling (FFmpeg / GStreamer preferred)
* Experience deploying models on:

* Linux systems
* Edge devices (Jetson preferred)

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**SDK Requirements:**

* Deliverable must be a reusable SDK (not just an application)
* Provide APIs in:

* Python and/or C++
* Documentation for integration
* Sample application for testing

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**Performance Expectations:**

* Recognition latency: < 500 ms per frame
* Accuracy target:

* ≥ 95% (day conditions)
* ≥ 90% (night conditions)

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**Deliverables:**

1. Working ANPR SDK (Linux-based)
2. API documentation
3. Demo application
4. Test results (accuracy benchmarks)
5. Deployment guide



**Project Duration:**
4–8 weeks (flexible based on approach)

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**Eligibility Criteria:**
Applicants must have:

* Prior experience in ANPR / OCR / Computer Vision
* Demonstrated projects (GitHub / portfolio required)
* Ability to explain technical approach clearly

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**Application Requirements:**
Interested candidates must submit:

1. Relevant project experience (links mandatory)
2. Proposed technical approach for ANPR in Indian conditions
3. Expected timeline
4. Tech stack to be used

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**Screening Questions (Mandatory):**

1. Which model architecture will you use for plate detection and why?
2. How will you handle non-standard Indian license plates?
3. How will you optimize performance for edge devices?

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**Selection Criteria:**

* Depth of technical understanding
* Relevant project experience
* Practical implementation approach (not theoretical)



**Note:**
This is a product-oriented development project. Preference will be given to candidates who have built deployable systems rather than academic prototypes.

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