Changelogs

Hello, in this part we introduce a new way for us to explain to you what we've improved/changed. Please use these changelogs to monitor how we improve our products!
August 2023 Updates

[4.51.1 ] - August 15, 2023

  • Dump image now will be taken from ROI image

[4.51.0 ] - August 14, 2023

  • Update model for NFV4-CELD (Crowd Estimation Low Density)

[4.50.2] - August 9, 2023

  • Update model for NFV4-VC (Vehicle Counting City View)
July 2023 Updates

[4.49.7] - July 12, 2023

  • Update on MP1 Streamer for CPU-Only or Streambox

[4.49.6] - July 10, 2023

  • Update model for NFV4-HC (Head Counting)
  • Upgrade CUDA on docker from 11.6.1 to 11.6.2
June 2023 Updates

[4.49.0] - June 23, 2023

  • Add NFV4-FR filtering based on bounding box, including new parameters: bbox_filter_active, bbox_filter_threshold
  • Add new analytic people counting based on head with NFV4-HC

[4.48.1] - June 22, 2023

  • Multiple MJPEG server port support
  • Expose NFV4-FR parameters frontal_only, matching_iou_threshold to adjust recognition sensitivity
  • Add MP1-Streamer support
May 2023 Updates

[4.47.7] - May 7, 2023

  • Update model on NFV4-CE to support varies of people density
  • Add new stream controller metrics including stream_ws_event_restarted_latency
  • Update model for Vehicle Detection analytics
April 2023 Updates

[4.47.6] - April 11, 2023

  • Add new FR analytic metrics including face_secondary_rejection_rate, face_secondary_rejection_rate, and fr_candidate_numbers
  • Expose Face Recognition sampling time control: sampling_time_ms
March 2023 Updates

[4.47.3] - March 10, 2023

  • Configurable parameter for Water Level Monitoring to control inference sampling

[4.45.8] - March 7, 2023

  • Configurable parameter for NVF4-LPR2: Bbox Offset to enlarge image dumping
  • Add new class to NFV4-PPE: Glasses
February 2023 Updates

[4.43.0] - February 14, 2023

  • New analytic NFV4-GOC with purpose of General Object Counting consist with 80 class. (POC Support only)

[4.42.0] - February 13, 2023

  • Streams are instantiated as subprocess
  • Add stream_child support

[4.41.11] - February 13, 2023

  • Add direction detection for NFV4-LPR2
  • Add whitelist/blacklist option ROI for NFV4-LPR2
January 2023 Updates

[4.41.5] - January 19, 2023

  • Update CE new model with improvement in pipeline to reduce latency by 100ms

[4.41.3] - January 19, 2023

  • Solving case in NFV4-FR where face that too close to camera is not dumped
  • Solve false positive case in People Counting

[4.41.0] - January 16, 2023

  • New url on /mjpeg endpoint with query params ?fps=xx, ?height=xx, and ?jq=xx
  • Enable dashboard stream visual setting with parameter height and jpeg_quality
  • Set global configuration on jpeg quality image dump each analytic_id with default analytic_id FR jq=80, otherwise jq=60
  • Disable std::terminate if pipeline is unresponsive

[4.41.0] - January 4, 2023

  • Fix False Negative on NFV4-PPE
December 2022 Updates

[4.40.3] - December 22, 2022

  • New model of NFV4-CE and use counting points as visualization

[4.39.0] - December 22, 2022

  • New pipeline NFV4-PPE that provides PPE (Personal Protective Equipment) detection

[4.38.0] - December 15, 2022

  • New pipeline NFV4-VD that provides vehicle dwelling information

[4.37.1] - December 13, 2022

  • New pipeline NFV4-VCAT to use vehicle recognition (enrollment based) in vehicle counting

[4.36.0] - December 9, 2022

  • Introduced a new version of CE : Low Density Crowd Estimation (CELD) which using similar principle with people dwelling.

[4.35.0] - December 2, 2022

  • Add method pause and resume abstraction
  • Pause frame if it isn't invoking get_active_frame()
  • Add check_capability on method PUT
November 2022 Updates

[4.34.0] - November 30, 2022

  • Add new analytics LPRS - LPR for special case

[4.33.0] - November 28, 2022

  • Assign blacklisted area during assign analytic for FR analytic

[4.32.28] - November 23, 2022

  • Concatenate camera metrics to v4 metrics
  • add log camera routine and print camera logge

[4.32.24] - November 15, 2022

  • Embedding information now available on event as vector of float
  • Embedding on event can be enabled by adding --fr-embedding-event-enable on runtime argument

[4.32.23] - November 12, 2022

Added

  • Add Face Recognition (FR) threshold to control FR dump
October 2022 Updates

[4.32.18] - October 25, 2022

Added

  • Update pipeline for adding FR events age in each track_id

[4.32.17] - October 18, 2022

Fixed

  • Fix crowd estimation negative estimate

[4.32.16] - October 12, 2022

Added

  • Update person detection model to improve performance and accuracy.

[4.32.15] - October 11, 2022

Added

  • new analytic Hybrid Face Recognition (NFV4H-FR)
  • Add new analytic data to v4bench
  • Add synchronous checking capability at create stream by adding key check_capability equal to true

[4.32.14] - October 7, 2022

Added

  • Update model for VC to improve our performance and accuracy

[4.32.13] - October 6, 2022

Fixed

  • Vehicle Aerial (NFV4-VAS) fix stuck when detection is empty
September 2022 Updates

[4.32.12] - September 29, 2022

Added

  • new analytic Vehicle Aerial Surveillance (NFV4-VAS)

[4.32.11] - September 29, 2022

Added

  • Integrate ability camera (Face detection code:NFV4-FR-H) through websocket to face recognition pipeline.
  • Transform secondary face landmark value.

[4.32.10] - September 27, 2022

Added

  • FR interval dumping for each camera assignment using payload, with default value of 0

[4.32.9] - September 21, 2022

Added

  • Update VC-HW detection model to use stream batching TensorRT with fp16 enabled
  • Update pipeline fraction for VC, PC, PD, FR, LPR2, and WLM for A2 and A30

[4.32.8] - September 14, 2022

Added

  • Test driver face recognition

Fixed

  • Fixing switch between primary and secondary face detection
August 2022 Updates

[4.32.7] - August 30, 2022

Changed

  • Update crowd model to general, improve high crowd counting.

[4.32.6] - August 16, 2022

Changed

  • FR add TensorRT stream batching and fp16 implementation for primary FD (not used)

Fixed

  • FR fix secondary FD landmark output

[4.32.5] - August 16, 2022

Added

  • add blacklist ROI config to LPR2
  • add remove bbox inside blacklist ROI

Fixed

  • Fix LPR2 for T4 scaling

[4.32.4] - August 10, 2022

Added

  • Internal updates

[4.32.3] - August 4, 2022

Added

  • Civilian area code for plate regex in LPR2
July 2022 Updates

[4.32.2] - July 28, 2022

Changed

  • Internal minor update.

[4.32.1] - July 27, 2022

Changed

  • We have optimized our LPRv2 Performance by increasing the number of maximum pipelines from 4 to 9 pipelines.

Fixed

  • fix People Dwelling service.

[4.32.0] - July 25, 2022

Added

  • We add new analytic : People Dwelling (NFV4-PD)

[4.31.6] - July 15, 2022

Changed

  • We changed Person Detection and use a new batching mechanism and enabled FP16 which increased our performance from 10 pipelines to 37 pipelines (increasing 270% performance) and reduced latency from 43 ms to 20ms (reducing 53% latency).

[4.31.5] - July 14, 2022

Added

  • Update model secondary face detection input size which increased analytic performance from 9 pipelines to 14 pipelines.

[4.31.4] - July 13, 2022

Added

  • We add a new feature to prepare for something big.

[4.31.3] - July 9, 2022

Added

  • We optimize TensorRT preprocess. In this part, we tried to implement it on our Vehicle Counting and reduce our latency from 29ms to 11ms for 1 pipeline, which reduce nearly 62% faster than before.

[4.31.2] - July 7, 2022

Added

  • HTTP request error handling in uncertainty dumper (for offline deployment).
  • Mechanism to not send data for several tries to our cloud when failed once.

[4.31.1] - July 6, 2022

Added

  • Add support for fp16 inference.

Changed

  • We implement it on our Vehicle Counting. We improve from 6 pipelines to 24 pipelines (increasing 300% performance) based on our T4 GPU and Intel Xeon 24 threads environment.
  • Pipeline health check limit was increased to avoid errors when building our inference engine.

[4.31.0] - June 30, 2022

Changed

  • We introduce a new mechanism on our Vehicle Counting to improve our performance. We improve our performance from 6 pipelines to 10 pipelines. Tested on our T4 and Intel Xeon 24 threads environment.

Fixed

  • We fix NMS and fix overlap not removing overlapped objects